Managing and supporting a big chatbot on Telegram, on Django

Development of a Telegram Mini App (store) with CRM and Nova Poshta integration It is necessary to develop a Telegram Mini App (store inside Telegram).Main functionality A catalog with approximately 20 products is needed. For each product: photo; name; description; price; model selection; color selection; quantity. Order processing The client must have the ability to: view the catalog; add products to the cart; change the quantity; place an order; enter: name; phone; city; Nova Poshta branch number; payment method; order comment. CRM All orders need to be automatically transmitted to the CRM via API. It is preferable that the integration is universal and in the future, the CRM can be changed without a complete redesign of the project.Nova Poshta Integration with the Nova Poshta API is needed or data transfer to the CRM if the creation of the shipping document will be done by the CRM itself.Administrator A simple administrator mode is needed: adding and editing products; changing prices; changing stock levels; adding new colors or models. Important The project must work as a Telegram Mini App (not a regular bot with buttons). The code, database, and all access after the completion of work must belong to me. The architecture must allow for additional features to be connected in the future without a complete redesign. Please inform: Estimated cost. Completion time. What technology stack you plan to use. Do you have experience in developing Telegram Mini Apps and integrating with CRM and Nova Poshta API.

I'm looking for an experienced Python developer who can conduct a full audit of the existing project, fix errors, and bring it to fully stable operation. If necessary, a complete redesign of the project architecture or writing a new implementation while preserving all necessary functionality is allowed. What I will provide The source code of the current bot. A video demonstrating how the bot should work. A complete technical specification with the logic of operation. Main task The goal is to restore the stable operation of the bot and ensure the execution of the full scenario without failures. If the current architecture cannot be effectively fixed, a complete redesign of the project is allowed. The main objective is not to preserve the existing code but to obtain a fully functional, stable, and maintainable product. What needs to be done 1. Conduct a project audit Before starting work, it is necessary to: study the existing code; identify the reasons why the bot stopped working; assess what can be fixed and what is more reasonable to rewrite. 2. Restore all functionality After the work is completed, the bot should correctly execute the entire scenario: registration of a new account; confirmation of login via code from email; authorization; execution of the scenario according to the technical specification; completion of work; transition to the next account. All stages must work automatically without manual intervention. 3. Fix existing errors It is necessary to eliminate any errors related to: authorization; receiving the confirmation code; unstable operation; freezing; unexpected program termination; errors after website updates; incorrect exception handling. 4. Make the project resilient The bot must: correctly handle errors; not enter infinite loops; automatically terminate unsuccessful scenarios; correctly continue operation after non-critical errors; maintain clear logs. 5. Control panel It is necessary to preserve or redesign the control panel. It should allow: to start and stop operation; to change necessary settings; to view the current status; to view the log of operations and errors. The interface should be clear and stable. 6. Code Code requirements: clear project structure; separation of logic into modules; possibility of further support. 7. Compatibility The project must run on a modern version of Python. The contractor must provide a complete list of dependencies and instructions for running. 8. Result verification Before handing over the project, the contractor must demonstrate a fully working scenario on video: project launch; completion of the full cycle; absence of errors; correct operation of all functions. What to provide after completion source code; all modified files; instructions for running; list of dependencies; video demonstration of operation; brief description of the changes made. Important The work is considered completed only after all functionality described in the technical specification and demonstration video works stably without critical errors. If during the audit it turns out that the current project cannot be effectively fixed, a complete redesign is allowed while preserving all necessary functionality. When responding, please indicate immediately: experience with Python; experience in browser automation (Playwright, Selenium, or similar tools); experience with REST API; cost of work; estimated completion time.

A Telegram bot needs to be developed in Stand Pulse for the client's test. The test has 5-7 questions with 5-7 answer options. Based on the client's answers, the bot will calculate scores and provide a result (6 options).

Develop a Telegram bot for receiving and processing customer inquiries, as well as a web administrative panel for managers. The Telegram bot should provide a modern and convenient communication format, similar to the Monobank support service: displaying an inquiry counter (under the nickname), confidentiality (clients have access only to this chat, other users are restricted), a convenient chat with the manager, and an intuitive interface for the user. The administrative panel should provide managers with full functionality for effective work with inquiries, including their distribution, maintaining a communication history, changing application statuses, and internal interaction. Special attention should be paid to the analytical module, which will allow tracking key performance indicators: inquiry statistics, first response speed, average application processing time, productivity of each manager, inquiry conversion, team workload, and other KPIs for assessing service quality. We have attached a more detailed technical specification in the format of Google Sheets for your review (in addition to the specification itself, other sheets contain deadlines and other questions that may interest you).

There is a Telegram bot on aiogram/FastAPI (CRM for an event project) and a separate ManyChat bot in Instagram Direct for communication with clients.Task 1 — fix the logic of the Instagram Direct bot.The current bot is made according to a strict script: it works step by step (greeting → about the event → response to "too expensive" → response to "I'll think about it"), with 3 random text options for each step. The problem is that the bot does not understand the meaning of the message, but guesses the step number and sends a template that is off-topic. Because of this: when asked directly about the price, the bot does not provide numbers but sends general text the language jumps — sometimes Ukrainian, sometimes Russian essentially, it is a randomizer of templates, not a dialogueIn a week, the bot lost several live leads. I can provide screenshots of conversations as examples.Need: for the bot to actually analyze the content of the message (question about price, objection "too expensive", doubts "I'll think about it", non-standard question, etc.) and respond appropriately — based on AI (for example, Claude API), not according to a strict script. The tone should be lively, not robotic, and the language should be Ukrainian. Basic scenarios (price, discounts, handling "too expensive"/"I'll think about it") need to be preserved, but the AI should choose the appropriate response based on the context.Task 2 (optional, but also needed) — auto-posting in Instagram.Posting through the official Meta Graph API: reels, stories, posts, carousels. Tags in the bot: [reels] / [stories] / [post] / [carousel] + [geo] / [poll] / [countdown]. Multi-user panel /admin — adding/removing people, roles (posting / viewing / all), activity log. Dynamic price from Google Sheets — the bot pulls the current price from the "Price" column.Questions for the performer: Is it better to implement Task 1 (AI logic for Instagram Direct) on top of the current ManyChat via webhook + external AI processor, or as a separate bot on an architecture like aiogram/FastAPI, connected to Instagram through the official Meta API? Are you taking on both tasks together (Direct logic + auto-posting)? What is the total cost and timeframe for the entire scope (task 1 + task 2)?Requirements: Experience with Meta Graph API (Instagram) Experience integrating AI models (Claude API / OpenAI API) into chatbots Preferably — experience with aiogram/FastAPI or ManyChat webhooks Portfolio with similar projects