Budget: 1000 USD Deadline: 5 days
Please choose me. I will be happy to help you!
Please choose me. I will be happy to help you!
Please choose me. I will be happy to help you!
Please choose me. I will be happy to help you!
Please choose me. I will be happy to help you!
Budget: 1500 USD Deadline: 30 days
Good day. I am implementing a Telegram bot with a role-based access model and a dynamic menu using Node.js/TypeScript, and I will deploy the knowledge base and repair log on Postgres with subsequent integration of a web panel. I am ready to discuss the details and start working. I would be happy to collaborate.
Budget: 5000 USD Deadline: 20 days
Hello. I have extensive experience in developing Telegram bots. I am ready for collaboration.
Budget: 15000 USD Deadline: 21 days
Good day! I have created Telegram bots in Python with an AI knowledge base — when the admin uploads PDF/Word/photos, the bot responds based on these documents without code modifications (RAG search + GPT). I have also implemented a menu with buttons, authorization, and access roles. I am ready to start with a working MVP on career techniques and then scale it for other equipment. One question: do we keep the knowledge base on your server or is a cloud solution (OpenAI + vector database) acceptable? This will affect the architecture.
Budget: 250 USD Deadline: 10 days
Hello! We are developing such bots on our own code — Telegram plus AI with a knowledge base is our main profile.
For YOKA ASSIST, I can create a working core for the first stage: a bot with a button menu, authorization, and three levels of rights (user, admin, main admin), a knowledge base where the admin uploads documents, and the AI responds to them without code modifications. Additionally, there will be diagnostics with error searching by code, equipment, and symptoms, along with buttons that adapt to the diagnostic steps. I will design the architecture so that new equipment and formats can be added easily later.
Two questions to accurately address the task: what AI do you want under the hood — your OpenAI key or something local? And what document formats are needed at the first stage — PDF/Word/Excel, or immediately photos and diagrams?
I can share three live bots in the chat so you can experience the flow before the solution. I am keeping the initial price low — I am gathering first reviews here, so I am making it advantageous. The working first version will take about 10 days.
Petr Pankov, BotCraft Group
Budget: 2000 USD Deadline: 7 days
Hello, I worked on an AI bot for technical support — the system processed 500+ requests/day, the knowledge base contained 1000+ PDF/Word documents, and the response time was reduced by 60%.
An interesting question: is there already a structured database of technical documents on ECG and SBH, or does it need to be formed from scratch with the team?
I suggest we get in touch; I will consult you for free on the technical side and we can create a development plan + I will tell you about my team!
Budget: 650 USD Deadline: 10 days
Hello. The project is large, so I suggest not promising the entire system in one opaque phase, but rather releasing a working Phase 1. For 650 USD, I will create a Telegram interface, user and administrator roles, document upload and indexing, knowledge base responses with source references, basic chat history, limits, error logs, and Docker deployment. I will design the architecture so that the next phase can add channel monitoring, lead classification, payments, and advanced analytics. The timeline for Phase 1 is 10 days. Before starting, I need examples of documents, roles and permissions, expected data sources, the chosen model/API, and criteria for a good response. After the first demonstration, we will separately finalize the scope of Phase 2.
Budget: 1200 USD Deadline: 15 days
Hello!
The YOKA ASSIST project is a large-scale task that requires quality architecture design so that the code remains clean and manageable when scaling to new types of equipment. I am ready to implement this project "turnkey."
My stack and how I see the work of key components:
1. Telegram Bot: Implementation based on aiogram 3 (asynchronous framework). I will create an interactive menu (Inline/Reply buttons, FSM for step-by-step diagnostics).
2. AI Module and Knowledge Base (RAG): For working with diagrams, PDF instructions, and Excel files, I will set up integration with AI using vector search for quick answers in documents.
3. QR System: Generation of unique QR codes for each cabinet/block with a special link that immediately launches the required verification algorithm in the bot.
4. Control Panel: Development of a full-fledged interface (for example, on Django Admin or FastAPI) for convenient management of the knowledge base without code modifications.
5. Journal and Analytics: Designing a database (PostgreSQL) for logging repairs and building statistics on malfunctions and employee efficiency.
I am ready to develop modular, well-documented code with the possibility of easy functionality expansion.
I suggest starting with a detailed discussion of the technical specifications in a private chat to break the project into sprints and launch the first phase as soon as possible.
Budget: 5000 USD Deadline: 21 days
Hello. I can build the backend and AI workflow for Yoka Assist: structured agents, APIs, data layer, logging and production deployment. I suggest defining one core user journey first and delivering a working MVP. Price is negotiable.
Budget: 222 USD Deadline: 5 days
Hello! I am ready to develop the first stage of YOKA ASSIST as a Telegram bot with a modular architecture, PostgreSQL, and AI search through the technical knowledge base.
I will implement user roles, document upload and processing, search by errors/symptoms/equipment, step-by-step diagnostics with dynamic buttons, QR transitions, a repair log, basic analytics, and administration. For AI, the RAG approach will be used: the bot responds based on uploaded technical materials rather than "inventing" instructions.
I suggest doing it in stages: first, a working MVP for one type of equipment and one knowledge base, then expansion to new enterprises, equipment, and a web panel.
The cost includes the source code, database structure, deployment instructions, and assistance with the first launch. Server and AI API expenses are paid separately.
Budget: 500 USD Deadline: 14 days
I develop Telegram bots with AI integrations turnkey. I have experience in building RAG systems (knowledge base + AI), authorization, and admin panels within the bot.
Stack: Python / Aiogram / PostgreSQL / DeepSeek AI / Docker.
Example: @MRAi_Demo_Bot — a bot with AI chat, RAG, admin panel.
The project is interesting, and I am ready for long-term cooperation. I suggest discussing the details and budget.
Budget: 3000 USD Deadline: 30 days
Hello! I have carefully studied the project brief for YOKA ASSIST. This is not just a Telegram bot, but a complex RAG (Retrieval-Augmented Generation) system integrated with an accounting system. I am ready to develop this project turnkey. To enable AI to work with your PDFs, diagrams, and instructions, I will deploy a vector database — this will allow the neural network to respond strictly according to the equipment regulations without "hallucinations." I will create the client part for mechanics in Python (Aiogram 3.x) with dynamic button generation, a role model, and a QR code scanner. For the main administrator, I strongly recommend creating a convenient Web panel for managing the repair log and viewing analytics — managing such a large amount of data and media files through a messenger interface will be ineffective. As the main database, we will immediately use PostgreSQL for reliable scaling to new enterprises. Message me privately, and we can discuss the logic of AI working with documents and get started!
Budget: 500 USD Deadline: 7 days
Hello! I am developing Telegram bots in Python with AI integration (LLM API) — I have a ready example of a similar architecture: a content processing pipeline with a knowledge base and AI logic on top of it (I can show it in our correspondence).
The project is large-scale — essentially, it is a separate RAG system (searching the knowledge base + diagnostics + admin panel + QR + analytics). I suggest breaking it down into stages so that you can see working results immediately instead of waiting for months:
Stage 1 (the first priority): Telegram bot with a role system, basic knowledge base (document upload by the administrator) + AI search through it, diagnostics based on error codes/symptoms with text and media responses.
Next — admin panel for expanding the base, QR system, repair log, analytics — as separate stages as the previous one is ready.
I am ready to discuss the exact scope of Stage 1 and deadlines in our correspondence.
Budget: 200 USD Deadline: 10 days
Hello!
I have carefully reviewed the technical specifications and the YOKA ASSIST presentation. The project is interesting because it is not just a Telegram bot, but a full-fledged system for working with technical documentation and equipment diagnostics.
I envision the implementation as follows: a bot with user roles (electrician, administrator, chief administrator), a knowledge base where PDF, Word, Excel, and other documents can be uploaded, and the AI will respond based on these materials. This is especially important for industrial equipment, as the system should not invent answers but rely on real documentation.
I will also implement a search by error codes, equipment, protections, and malfunction symptoms, step-by-step diagnostic algorithms with dynamic buttons, a repair log, and the possibility of further scaling for new enterprises and types of equipment.
I will immediately lay out the architecture in a modular way so that in the next stages, QR codes, analytics, and a web panel can be added without reworking the main logic of the system.
There are two clarifications:
1. Which AI provider is planned to be used — OpenAI, Claude, or another solution?
2. In the first stage, is work needed only with documents, or is there also a need to search for information within photos, diagrams, and videos?
I am ready to discuss the details and propose an optimal plan for implementing the MVP.
Budget: 800 USD Deadline: 25 days
Hello! I am very interested in the YOKA ASSIST project. As a Python developer specializing in bots, parsers, and web applications, I understand how to build this system to ensure it operates reliably and scales.
Regarding pricing and timelines:
Since the project has several levels of complexity (AI integration, knowledge base, analytics, web panel), an exact estimate can be provided after agreeing on the "MVP" (minimum viable product).
Typically, the implementation of the first stage (basic bot functionality + RAG for documents) takes [Insert number of days, e.g., 20-30 days].
I estimate the cost of developing the MVP to be around [Insert your price, e.g., $800 - $1200].
We can discuss a fixed budget for the stages: first, core development, then refinement of analytics and the web panel.
Technical approach:
Bot (Python/Aiogram 3): Asynchronous architecture, dynamic buttons, flexible role system.
Intelligence (RAG): I will use vectorization (ChromaDB/Pinecone) to ensure the AI responds strictly according to your technical documents without any "fantasies."
Database (PostgreSQL): I will set it up right away to ensure the integrity of the repair logs and analytics.
QR system: I will implement it through Deep Linking for instant access to sections of the bot.
Budget: 7500 USD Deadline: 40 days
Hello. My name is Alexey, I represent a group of developers – NC-1. For over five years, we have been creating websites, mobile applications, online stores, ERP/CRM systems, and other e-commerce products. In our team, there is a Python developer, senior with the necessary experience and knowledge for you. The preliminary cost of the intelligent system: 6800 USD. Best regards, Alexey M.
Budget: 1000 USD Deadline: 25 days
Hello! The YOKA ASSIST project is a large and interesting task that requires reliable engineering architecture. I specialize in developing complex asynchronous Telegram bots in Python and integrating AI models.
Here’s how I propose to implement the technical part:
Core and Database: I will use the modern asynchronous framework aiogram 3.x and PostgreSQL. This will ensure modularity, instant reproduction of dynamic buttons, and an ideal base for further integration of a web admin panel.
AI Knowledge Base (RAG architecture): To enable the bot to generate responses based on uploaded PDFs, Word documents, Excel files, and instructions without changing the source code, I will use the Retrieval-Augmented Generation approach (with the pgvector vector database). The AI will search for solutions not on the internet, but strictly within your corporate documents.
QR System: It is best implemented through the native Telegram Deep Linking mechanism. When scanning a physical QR code on a cabinet or block, the user will instantly access the corresponding card (for example, directly to the "Protection No. 32" menu with a description and algorithm).
Admin Panel and Logic: I will fully implement a multi-level structure based on your layouts. I will organize the management of sites (for example, Yoshlyk-1, Kalmakyr), step-by-step verification algorithms, and a repair log. The analytics module will automatically collect statistics on equipment triggers.
In the end, you will receive clean, documented code that is easy to scale to new types of equipment and divisions of the enterprise. I am ready to discuss the details of deployment and testing AI in the chat!
Budget: 2000 USD Deadline: 10 days
Good day!
Your project is very interesting and essentially represents not just a Telegram bot, but a full-fledged intelligent support and diagnostics system for equipment.
I specialize in developing complex Telegram bots, automation systems, and solutions using artificial intelligence. I have extensive experience with Python, databases, AI integration via API, modular architecture development, and building scalable projects.
What I can implement:
✅ A Telegram bot with a modern interface and role system (user, administrator, chief administrator);
✅ An intelligent knowledge base with the ability to upload PDFs, Word documents, Excel files, images, diagrams, videos, and technical documentation;
✅ An AI assistant that will utilize the uploaded materials without the need to modify the code;
✅ An equipment diagnostics system based on error codes, symptoms, cabinets, blocks, and types of equipment;
✅ Dynamic diagnostic scenarios with automatic button and recommendation generation;
✅ An administrative panel for managing equipment, the knowledge base, and users;
✅ A QR system for quick access to the necessary equipment;
✅ A repair log and maintenance history for the equipment;
✅ Analytics on malfunctions, repairs, employees, and equipment;
✅ An architecture that allows for future integration of a web panel and scaling the system to new enterprises and types of equipment without a complete redesign of the project.
I can also assist with the initial deployment, server-side setup, and ongoing support for the project.
I suggest we start by discussing the first stage, defining the MVP, and drafting the technical specifications. This will allow for an accurate assessment of timelines and budget, as well as laying the right architecture for the future development of the system.
I would be happy to discuss the details and participate in the long-term development of the project.
Budget: 500 USD Deadline: 30 days
The project is interesting, the scope is serious — this is not a "bot for a week," but a platform with a knowledge base, diagnostics, an admin panel, and a repair log. Realistically assessing, the first working phase is approximately 1–2 months, depending on how much technical documentation is already gathered (error codes, diagrams, instructions, videos). If the knowledge base is partially ready, the timeline for the content phase can be shortened, but not for the development of the system itself.
Here’s how I see the technical implementation:
Telegram bot (Python, aiogram or python-telegram-bot) — menu, buttons, authorization, roles: user / department admin / main admin.
Database — initially SQLite or PostgreSQL (better to use PostgreSQL right away if you plan to have several departments and analytics).
Knowledge base — documents (PDF, Word, Excel), photos, diagrams, videos stored on the server; text indexed for search. The admin adds materials through the admin section in the bot (or a separate web panel in the second phase) without changes to the code.
AI — connection via API (OpenAI or similar): responses based on your knowledge base (RAG), not "from the head." OCR — only for text recognition from diagrams/scans, if needed.
Diagnostics — search by error code, protection name, cabinet, block, equipment, symptoms; verification steps, links to diagrams/videos/documents; dynamic buttons ("check cabinet," "next step," "back," etc.).
QR codes — for cabinets, blocks, units of equipment; scan → immediately to the required section of the bot.
Repair log — who, when, what was done, materials, comments, history of equipment.
Analytics — frequent malfunctions, repair statistics, basic reports (in the first phase — in the bot or simple export; advanced reports can be moved to the web panel later).
The architecture is modular — to later add new equipment, enterprises, departments without rewriting the entire project.
Deployment: VPS, bot + DB + file storage, initial setup and assistance with launch included in the work.
Payment: hourly rate. I can send an approximate estimate of hours by phases after a brief clarification: how many units of equipment at the start, whether there is already a structured base of errors/documents, how many roles and departments.
Budget: 900 USD Deadline: 30 days
Hello!
I am ready to complete your project: "Yoka assist"...
I have the necessary experience! I respond quickly and deliver quality work!
Message me, and we will discuss the details!
Budget: 100 USD Deadline: 1 day
Good day, Eldar.
Your main area of risk here is not the bot itself, but the correct processing of multimodal content: diagrams, photos of cabinets, and diagnostic videos require not just storage, but vector indexing linked to specific error codes and equipment nodes, so that the RAG module extracts the relevant frame or diagram, not a general document. Your knowledge base will operate through a pipeline: PDF/Word/Excel files are broken down into fragments with metadata, photo diagrams are indexed through a multimodal LLM with descriptions of what is depicted, and videos are segmented into key moments with text annotations — after this, the administrator adds a new document, and it automatically becomes available to the AI.
The diagnostics will be step-by-step: the user scans the QR code of the cabinet or enters the error code, the bot builds a tree of checks with dynamic buttons, and each click leads to a specific diagram, photo, or video fragment. The repair log will record who, when, what was done, and how long it took — and the analytics will identify recurring breakdowns on specific EKGS excavators or SBSh drilling rigs.
As a stack, I suggest Go + PostgreSQL with pgvector: for the RAG system with vector search and processing of large documents, Go provides better performance and predictability under load, while pgvector will enable semantic search directly in the database without external services. The architecture will be modular with clear interfaces — adding new types of equipment or enterprises will come down to creating new configurations, not rewriting code.
Possible options:
- Basic
1300–2000 USD
- Telegram bot with basic authorization and roles
- AI search for text documents (PDF, Word)
- Basic diagnostic functionality by error code
- Simple admin panel for document uploads
- Standard
2500–4000 USD
- Full RAG module for all file types (including photos and videos)
- Interactive step-by-step diagnostics with dynamic buttons
- QR code system for instant access to objects
- Complete repair log and fault analytics module
- Scalable architecture on PostgreSQL for multiple enterprises
- Premium
4500–6500 USD
- All features of the Standard package
- Separate web admin panel for convenient management of large volumes of data
- Advanced analytics module with automatic report generation
- Priority support and maintenance for 3 months after launch
- Optimization for high loads and multithreaded request processing
Budget: 850 USD Deadline: 15 days
Hi,
I can develop the YOKA ASSIST intelligent diagnostic system. I have experience building Telegram bots, AI integrations with LLM APIs, RAG knowledge base systems, and Python backend development.
I understand the core architecture: Telegram bot with role-based access (user, admin, chief admin), AI-powered knowledge base supporting PDF, Word, Excel, images, videos, and diagrams using RAG (Retrieval Augmented Generation) so new documents are usable immediately without code changes, equipment fault diagnosis with dynamic button generation, QR code system linking physical equipment to bot sections, repair log, analytics, and modular scalable architecture for adding new equipment types and enterprises.
Technology stack: Python with aiogram for Telegram bot, PostgreSQL for structured data, vector database (Chroma or Pinecone) for document search, OpenAI or similar LLM API for intelligent responses, and AWS or VPS deployment with web panel capability for future expansion.
This is a strong fit for long-term cooperation across multiple development stages.
I am available immediately to discuss architecture and begin development.
Thanks, Youssef
Budget: 400 USD Deadline: 14 days
I will complete the first stage of YOKA ASSIST: a Telegram bot with a button menu and three levels of access, a knowledge base where the administrator uploads PDFs, Word documents, Excel files, photos, and diagrams, and the bot responds strictly based on these documents through vector search, with references to specific documents. Diagnostics by error code, cabinet, block, and symptoms, dynamic buttons as steps of diagnostics, QR entry via deep linking, repair log on PostgreSQL.
Such a system is already working for me: find the bot auth_ai_radar_bot in Telegram, this is my live project with a knowledge base and hybrid search (vector, keywords, re-ranker), you can check the quality of responses in a minute. For your project, I propose the same to start: send one or two real equipment passports, and I will show a prototype of how the bot responds specifically to them, so you can make decisions based on a working example, not on promises.
Stack: Python (aiogram 3), PostgreSQL + pgvector, integration with AI via API (Claude or OpenAI, your choice), modular structure for future web panel. We will discuss the details in the chat.
Budget: 1500 USD Deadline: 30 days
Hello!
Straight to the point, what distinguishes this project from a "button bot": the core is not the Telegram interface, but rather that the AI must respond from your actual document database, which the admin updates, without any code modifications. For diagnosing mining equipment, there is a strict requirement that I would prioritize: the bot is not allowed to invent the order of checks or the cause of the malfunction — the cost of error on mining equipment is too high.
Therefore, I am structuring it this way: the PDFs/Word/Excel/photos/schematics/videos uploaded by the admin go into the knowledge base, and the AI responds via RAG — that is, it retrieves a relevant fragment from real documents and answers strictly based on that, not from "memory." If there is no answer in the database, the bot honestly says "not found" and suggests escalation, rather than inventing a procedure. A new document = just data, no redeployment.
I perform diagnostics across all your axes at once — error code / protection / cabinet / block / equipment / symptoms. Searching by code is precise, while "by symptoms" is where the AI excels: vague description of an electrician → correct malfunction. Dynamic buttons ("check cabinet → schematic → next step → back") — this is not a fixed menu, but a state of diagnostics that guides the person step by step.
I am laying the architecture to be modular and multi-tenant from day one: everything is tied to the enterprise / department / type of equipment, so adding a new quarry or new equipment in the second stage is just data, not rewriting the project. Plus, a repair log, RBAC (user / admin / main admin), QR codes for cabinets, analytics — as per the specifications.
I am already building such reliability in production — LLM with a guard layer that prevents the model from inventing facts: github.com/novellocaitlin13-ui/melody-platform.
One moment defines the scope of the first stage: how many documents and error codes are approximately in the initial database for ECG/SBSH, and are the data more structured (code → fix) or free documents? This affects the balance of precise search and RAG. We will discuss details and the plan for stages in private.
Budget: 3000 USD Deadline: 30 days
Hello, Eldar!
I have figured out the technical specifications and the entire presentation (6 screens) — the whole system, including the admin panel and algorithm editor, operates within the Telegram bot using inline buttons; the web panel is for the future, as you mentioned. YOKA ASSIST is a Python bot with AI on top of the hierarchy "platform → equipment → block → protection → algorithm": a knowledge base from multi-format documents, diagnostics (search by code/protection/cabinet/symptoms + cards with photos/schematics/videos), a step-by-step algorithm editor with navigation through dynamic buttons, RBAC at 3 levels, QR entry, repair log, and statistics on activations. Modular and scalable.
Here, two of my strengths converge:
— AI knowledge base: I built RAG pipelines over the knowledge base with Claude/LLM and structured output — "admin added a document → AI uses it without code modification" is exactly RAG (ingestion → vector store → retrieval), my domain; plus parsing documents of various formats (Word/Excel/images, etc.).
— Bots + logic: Python Telegram bots (Telegram Bot API) with inline buttons and dynamic navigation; step-by-step algorithms/finite state machines (I created a 14-state FSM, order flow for taxis) — this is exactly your editor + passing diagnostics; I built RBAC/roles, analytics, and logs (OLAP, audit) in production. I will lay down the hierarchy and modularity from day one — new equipment/platform/division without rewriting.
Estimate: ~150–250 hours (the main swap is the depth of AI/RAG and multi-format); hourly, exact range after clarifying all details.
Question: Target AI provider (Claude/OpenAI/own)? And for MVP video/photo — do we store and reference, or is content search needed for media?
Details — in correspondence.
Budget: 200 USD Deadline: 10 days
Hello! This is my specialization — Telegram bots on Python with an AI knowledge base (RAG), roles, and an admin panel. I understand the project and see the architecture.
I suggest doing it in stages so you can see the working result and not risk the budget:
Stage 1 (MVP, core): a bot with a modern menu, authorization, and 3 levels of rights; a knowledge base (admin uploads PDF/Word/Excel/photos), AI responds based on the uploaded materials without changing the code; diagnostics with error code/hardware/symptom search; dynamic buttons. SQLite at the start, modular architecture for scaling.
Stage 2: admin panel (adding equipment/errors/documents/videos), QR system (scan → bot section).
Stage 3: repair log, analytics (frequent malfunctions, statistics, reports), web panel.
The architecture is immediately universal — new types of equipment/companies/departments can be added without rewriting.
I work through a Secure Deal. We will start with Stage 1 — you will receive a working core, then we expand.
Questions: which AI provider do you prefer (OpenAI/Claude), the approximate volume of the knowledge base at the start, and are there ready documents/passports for the first equipment?
https://horizonbyte-hub.vercel.app/uk
Budget: 500 USD Deadline: 14 days
Hello, Eldar!
The YOKA ASSIST system project is maximally detailed and clear. Automating the diagnostics of heavy industrial equipment using AI is a great case where it is critically important to lay down a flexible modular architecture for future scaling to new enterprises and types of equipment.
I have experience in developing asynchronous systems in Python (aiogram 3.x + FastAPI) and working with databases, so I propose to implement a reliable commercial solution:
1. AI Architecture and RAG (Knowledge Base): To work with technical passports, instructions, and diagrams (PDF, Word, Excel) without changing the source code, I will implement a full-fledged RAG pipeline. The optimal option for the MVP is to use Vector Store within the OpenAI Assistants API or Anthropic API. Documents will be vectorized, and the AI will provide accurate answers based solely on your instructions, without "hallucinations."
2. Dynamic UI and Diagnostics: The bot menu and step-by-step buttons ("Check the cabinet," "Next step") will be generated dynamically based on the relationships in the database for a specific model of equipment (ECG, SBSH).
3. QR Integration (Deep Linking): I will implement this through the input parameters of the Telegram bot. Scanning a QR code on a real cabinet or block will instantly redirect the mechanic to the required step of diagnostics, bypassing the main menu.
4. Reliable Database: Following your specifications, I will deploy the project on PostgreSQL (instead of SQLite), which is critically important for multi-level access rights, repair log maintenance, analytics, and future seamless connection of a web panel for the main administrator.
I deploy all projects on autonomous hosting Railway (24/7 operation). You can view examples of my working bots with databases, state machines, and integrations in my profile on the platform.
I suggest we finalize the scope of the first stage (MVP) and discuss the details. Please let me know which model's API (OpenAI or Anthropic/Claude) you consider a priority for integration?
Budget: 1000 USD Deadline: 21 days
Hello!
I have extensive experience in developing telegram bots and mini apps. You can view examples of my work in my portfolio. I am ready to complete the assigned task.
I suggest we discuss the details in private messages.
Budget: 1500 USD Deadline: 15 days
Hello ⭐️! I am a highly qualified web developer with over ✅ 7 years of experience in development and modern web technologies.
Recent projects:
✔️https://homenly.com
✔️https://confidence-tech.com
✔️https://homexcrm.com
✔️https://omgfirms.com
✔️https://skyhigh-lviv.com/
✔️https://sweet-sdpearls.de/
✔️https://novobudova.pro
✔️https://aquahub.org.ua
✔️https://boostylabs.com
✔️https://ol.zp.ua
✔️https://emporio-sports.cz
My stack includes:
✅ Frontend: HTML, CSS, JavaScript, React.js, Vue.js, Angular
✅ CMS: Wordpress(woo), OpenCart, Prestashop, Webflow
✅ Backend: PHP, Laravel, CodeIgniter, Python, Django, Flask, Node.js, Next.js
✅ Databases: MySQL, PostgreSQL
✅ Other skills: Git, API integration
Why choose me?
✔️ Fast and quality execution: Your tasks will be completed on time and with impeccable quality.
✔️ API integration: Need seamless integration of third-party APIs? I will take care of that.
✔️ Custom solutions: I take your ideas and turn them into successful web solutions tailored to your business needs.
Let's collaborate and create something amazing together!
Budget: 500 USD Deadline: 4 days
Good evening!
I studied the project — it's an interesting task, I have worked with similar systems.
I am ready to take it on. I will implement it using Python + Telegram Bot API + PostgreSQL + Claude AI.
The cost for the first stage (bot + knowledge base + diagnostics + admin panel): $500-600.
The QR system, journal, and analytics will be the second stage.
In terms of deadlines, we can complete it in 3-4 days! I would be happy to collaborate!!
Budget: 150 USD Deadline: 5 days
Hello!
I work cheaper than the market rate as I am currently actively building my portfolio.
I understand the project: a Telegram bot with AI, a knowledge base, document uploads, equipment diagnostics, user roles, QR codes, a repair log, and analytics are needed.
I have experience in developing Telegram bots, backend in Python, working with APIs, databases, and automation. I can also help for free with setting up Claude Code/API to speed up development.
Estimated cost for the first MVP: 100-150.
Deadline for the first phase: 3-5 days.
I will be able to provide the exact cost and timeline after reviewing the materials, presentation, and clarifying the scope of the first phase.
Feel free to write, I would be happy to discuss the project details!
Budget: 550 USD Deadline: 21 days
Hello. I am Vladimir, a Python developer and the founder of the engineering agency Vaysed. Your task of developing the YOKA ASSIST intelligent system for mining equipment is completely clear to me. Creating a digital assistant of this level requires a reliable backend architecture and proper integration of vector search. I have carefully studied the attached screenshots; they are an excellent guide for building the logic of user interfaces.
To create a system that will intelligently process technical documents, equipment passports, and diagrams, classic text search will not be sufficient. I will build the architecture based on vector search and response generation. Files uploaded by the administrator will be automatically broken down into meaningful fragments, vectorized, and stored in the database. Upon request from a mechanic or electrician, the system will instantly extract the necessary fragment of documentation and pass it to the language model for generating an accurate response, supported by the required diagram or photograph.
The bot itself will be written in Python using a modern asynchronous framework. I will implement a system of smart buttons that generate on the fly depending on the context, to guide the specialist step by step through the diagnostic algorithm. The bot will also include a deep link handler. Scanning a QR code on real equipment will automatically open the corresponding section in Telegram without the need for manual navigation through the menu.
I strongly recommend immediately abandoning the use of entry-level databases like SQLite. For a project with authorization, strict access hierarchy, a comprehensive repair log, and advanced analytics, I will lay down a reliable relational database PostgreSQL. This is critically important for scalability, which will allow for easily connecting a full-fledged web panel for the main administrator in the future and seamlessly adding new types of mining equipment. I have successful experience in creating complex scalable ecosystems within Telegram. For example, while developing the autonomous PAYBACK CARTEL system, I designed complex data routing, synchronization with CRM, and a multi-level access system. This experience guarantees that your project will have clean, well-documented, and easily maintainable code.
You can familiarize yourself in detail with my engineering approach and examples of completed projects in my portfolio at the link 
Freelancehunt. I am ready to receive confirmation and start designing the architecture.
Budget: 2500 USD Deadline: 21 days
My main specialty is business process automation, usually involving Telegram bots. Everything described is fully implementable; I have completed similar projects more than once. You can click on my profile to view my portfolio.
The price includes development, installation, launch, and a one-year warranty in case bugs appear, with free fixes. I continue to manage all projects even after delivery; if updates, corrections, enhancements, or just advice are needed, I am always available.
I work specifically with pyTelegramBotAPI, I skip SQLite and use MySQL/PostgreSQL and Redis for caching. We can use AI from OpenAI; it works easily and effectively for such tasks. If you plan to create a web admin panel in the future, we can build it on the API right away, so that later there is a separate core, a separate bot that interacts with the core, and a separate website that interacts with the core.
Budget: 600 USD Deadline: 20 days
Hello! The technical specification for YOKA ASSIST came in right away - I have done similar logic: a Telegram bot with button dialogue (FSM), plus a separate web panel on FastAPI with background tasks and real-time statuses (for a similar project with account management). So both parts of the stack have already been tested on real tasks, and I can show examples during a call.
Regarding the volume: to stay within $600/20 days without compromising quality, I suggest clearly fixing the MVP in the first stage: bot + database of malfunctions + simple RAG for documents (without a vector database, if searching by key fields is sufficient - cheaper and faster), while the web panel and deep AI integration (Vector Store, embeddings) can be moved to the second stage with a separate assessment - this way you will immediately receive a working product, not an unfinished piece of a large system.
What API are you considering for the AI part - OpenAI/Anthropic or are you open to discussing local models for cost savings? I am ready to start within the day.
Budget: 600 USD Deadline: 20 days
Hello! Amazing and detailed project brief. For me, as a developer of AI systems (studying in the specialization "Artificial Intelligence Systems"), this project is a perfect fit for my stack and expertise. I have a clear understanding of how to implement YOKA ASSIST without inflating the codebase and overpricing.
My technical vision for the implementation of the first stage (MVP) in Python (aiogram 3.x + SQLite/PostgreSQL):
AI Architecture and Knowledge Base (RAG system): In order for the AI to respond correctly to technical passports, instructions, and PDFs without changing the code, we will implement a classic RAG pipeline. Documents will be parsed, split into chunks, and vectorized (via OpenAI/Anthropic API or local embeddings), or we will use Vector Store within the OpenAI Assistants API. The bot will provide accurate answers with links to specific points in the documents.
Diagnostics and Dynamic Buttons: The fault database is designed on a relational database. Searching by error code or symptoms will be implemented through FSM (Finite State Machine) in aiogram. The "View Diagram" or "Check Cabinet" buttons are generated dynamically (InlineKeyboardBuilder) based on relationships in the database for a specific model of equipment.
QR Integration: Implemented through the Telegram Deep Linking mechanism. The bot parses the incoming parameter from the link (for example, ?start=shkaf_104) and instantly redirects the engineer to the necessary step of diagnostics, bypassing the main menu.
Admin Panel and Repair Log: In the first stage, for a quick launch, the admin panel for managing users, uploading files, and maintaining a work log can be succinctly implemented directly within Telegram (in the interface for main administrators) with a subsequent seamless transfer to a web panel (FastAPI + React).
The project is long-term and requires a clean modular architecture, separation of logic into handlers, services, and databases, which I fully guarantee.
Please let me know which AI model APIs (OpenAI, Anthropic, or local solutions) you consider a priority? I am ready to discuss the development plan and timelines in private messages!
Budget: 1000 USD Deadline: 20 days
I have reviewed the technical task for the development of the YOKA ASSIST system. The project looks large-scale and promising, and most importantly, the task of automating diagnostics for heavy industrial equipment is extremely relevant.
I have experience in developing complex Telegram ecosystems in Python (Aiogram 3) with the integration of LLM (OpenAI API / Anthropic / local models) using RAG (Retrieval-Augmented Generation) technology, which is ideal for your knowledge base (reading PDFs, schematics, documents without changing the code).
Here’s how I envision the project implementation:
Architecture and DB: Use PostgreSQL right away (not SQLite), as the project is scalable. For the knowledge base and AI, we will add vector extension (pgvector) for fast searching through technical documentation and instructions.
AI module (RAG): Parsing documents (PDF, Word, Excel), breaking them into embeddings, and storing them in the database. The AI will search for answers exclusively based on your documents, which will eliminate "hallucinations" of the neural network.
Diagnostic logic and Dynamic UI: A flexible bot menu with FSM (Finite State Machine) that pulls diagnostic steps, photos, schematics, and QR links from the database.
Admin panel: For the MVP, I suggest implementing it directly in Telegram (extended admin menu) or through a simple Web App panel right inside the bot (this is more convenient than a pure CLI and cheaper than a separate website).
Journal and Analytics: Logging user actions, collecting repair statistics, and exporting reports (for example, in Excel/PDF or charts in the Web App).
Budget: 300 USD Deadline: 10 days
Good day!
I have reviewed your task regarding the development of the YOKA ASSIST intelligent system and the attached interface mockups. The project is very interesting, clearly structured, and I am fully ready to take on its implementation.
I guarantee the completion of the work:
Quickly and on time: the first working stage will be ready exactly on schedule (and even faster).
Qualitatively: clean, modular code with detailed documentation, fully adapted for easy scaling and future connection of the web panel.
Responsibly: I will assist with the initial deployment, server setup, and will be in touch for further development of the system.
Since you are looking for a reliable performer for the long term, I propose minimal conditions for a successful start of the first stage.
Budget: 700 USD Deadline: 30 days
Hello!
I read the project carefully — it's an interesting and non-trivial task. Essentially, this is a RAG system (Retrieval-Augmented Generation) on top of a Telegram bot: AI answers questions based on uploaded documents, diagrams, and instructions without rewriting the code.
Technically: FastAPI + PostgreSQL + vector database for semantic search in the knowledge base (pgvector or Chroma), Claude/OpenAI API for generating responses, aiogram for the bot. QR codes with deep links to the necessary section are a standard solution.
I will make the architecture modular — new types of techniques, enterprises, and knowledge bases can be added without rewriting.
This is a long-term project, so I suggest working based on the actual hours worked with checkpoints once a week — it's more honest than a fixed rate for such a volume.
We will discuss the details privately.
I hope for cooperation!
Budget: 250 USD Deadline: 5 days
Good day! I can easily implement this based on the Python programming language using the appropriate modules and LLM models. I will do everything as requested in the technical specifications. We can discuss the style and the main key points in private messages. I will be looking forward to hearing from you!
Budget: 1500 USD Deadline: 22 days
Hello!
I have reviewed your technical assignment. The task is completely clear: you need a reliable, scalable system for diagnosing mining equipment and managing a knowledge base through Telegram, working with AI. I have experience in creating complex bots and integrating AI solutions.
How I will solve this task:
I will develop the right architecture: I will use PostgreSQL for the database (SQLite is not suitable for such volumes of documentation). The architecture will be built so that you can easily add new enterprises and types of equipment without rewriting the code.
I will integrate AI (RAG system): I will set up smart search across your PDF, Word, and Excel files. The bot will use the built-in knowledge base and answer users' questions based on your instructions and schemes.
I will create convenient functionality: I will implement dynamic buttons for diagnostic steps, linking to QR codes (auto-transition to the relevant section of the bot), a repair log, and output statistics/reports.
Answers to your questions:
Experience in Python: over 4 years in Full-stack development
Experience in automation and API: I constantly work with asynchronous Python (aiogram 3.x, FastAPI), integrating third-party APIs and LLM models (OpenAI/Anthropic).
Cost: $1,500 (we will discuss the exact amount and stages after a detailed review of the document structure).
Timeline: 20–25 working days (we will break the work into clear weekly sprints with demonstration of results).
The code will be clean, modular, and documented; I will help fully deploy the project on the server (Docker). I am ready to discuss the architecture details in a call or in writing!
Budget: 100 USD Deadline: 1 day
Good day.
The YOKA ASSIST project is an interesting task that requires a deep understanding of scalable system architecture and artificial intelligence integration. I propose to build it based on a modular Python architecture using PostgreSQL for the main database and a vector database for efficient storage and semantic search in the intelligent knowledge base. This approach will ensure high performance, reliability, easy scalability for new types of equipment and enterprises, as well as flexible implementation of dynamic functionality and access rights segregation. I have experience in implementing similar systems for the industry and ready architectural templates, which will significantly speed up the development phase. I suggest discussing all implementation details, final budget, and timelines in private messages.
Budget: 610 USD Deadline: 25 days
Eldar, I understand that you need the YOKA ASSIST intelligent assistant, which will help mining specialists quickly diagnose faults and learn. This will allow for the centralization of knowledge and make it accessible in critical situations.
I will develop a Telegram bot with a clear interface and an authorization system. It will be able to work with technical documentation (PDF, Excel, photos) and will utilize AI capabilities for quick searches for answers and recommendations. The result will be a digital assistant that will significantly speed up problem-solving on-site.
I am curious if there are already developments regarding the structure of the knowledge base or any typical diagnostic scenarios you would like to start the AI work with?
Budget: 70 USD Deadline: 5 days
Hello! The project is clear; I see that this is not just a bot, but a full-fledged modular system with AI, a knowledge base, access roles, and further scalability.
I can implement this in Python (Telegram Bot API) with a modular architecture, connecting PostgreSQL and a separate layer for integration with AI and the knowledge base (PDF/documents/media). I can also immediately lay the groundwork for a future web panel, QR access, and a repair log.
I would like to clarify a few points regarding the scope of the first stage (MVP), after which I can provide exact timelines and budget estimates. I am ready to engage in development step by step, so the system is immediately functional and expandable.
Budget: 100 USD Deadline: 3 days
Hello!
I am interested in the YOKA ASSIST project. The task is clear: it is necessary to develop a Telegram bot with AI, a knowledge base, equipment diagnostics, user roles, admin functions, a repair log, and the possibility of further scaling.
I can implement the project in Python using the Telegram Bot API, a PostgreSQL/SQLite database, and integration with AI via API. It is better to make the architecture modular so that in the future, a web panel, new types of equipment, departments, and the knowledge base can be added without a complete overhaul.
I suggest starting with an MVP: bot, authorization, roles, document upload, search by errors/equipment/symptoms, AI responses based on the knowledge base, a repair log, and a basic admin panel.
I am ready to discuss the details, determine the priorities of the first stage, and propose a clear implementation plan.
