Python
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51 USD TG bot to broadcast surveys from the site.
PythonBot parsits questionnaires consisting of a photo and product description. Then they put them out in the bot.
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68 USD Link to LinkedIn
PythonLink to LinkedIn
The script allows you to add a user to friends, create a dialogue and send a message.
During the development, Python/Django was used to create a panel administrator to enter messages, and there was also search for conversations and users.
…
The message itself is made via Python/Selenium (headless).
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45 USD Converter
PythonCreate an API on Python/DjangoRestFramework to convert presentations from pptx and ppt formats into png files.
A POST request is sent with an indication of the presentation path on the server, resulting in the return of the list of created files and the path to them (as well, they can be viewed in the browser by a specific link).
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226 USD Telegram Bot Processor
Python2 Telegrams of BOT. 1 for the buyer, 2 for the seller.
Between the buyer and the seller are transferred points. You can find the seller by location, the name of the trade point and by login. The bot can also - remove the balance, show personal data about the user, view the history of the magazine and supplements, change the password.
The Admin Panel.
… With the help of the Admin Panel you can get a note on a specific user. Change the keys of bots. Complete the balance of a particular seller or buyer. Add or edit the buttons that will later be displayed in the bot menu. Lastly, edit the responses of the bots.
Each user can view all the data he indicated. The seller has a location.
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31 USD Multi-Touch Parsers in Python
PythonMulti-Touch Parser on Python3 #Python3 #MySQL/SQLite #Multithreading
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BOOKEASY
PythonSaaS platform for individual beauty masters with online booking functionality, time slot management, automatic notifications via SMS and Telegram, and an integrated payment system.
#python #fastapi #PostgreSQL #Redis #saas #Backend #restapi #aiogram3 #celery #DDD/TDD
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Notion ERP: Automation of invoices and payments (Python)
PythonProject Description:
Developed a financial cycle automation system for freelancers and small businesses based on Notion, Python, and Vercel. The solution transforms regular task tables into a powerful accounting tool with bidirectional synchronization and notifications.
What has been implemented:
… - One-click invoice generation: The script scans the task database, collects marked items, groups them by projects, and creates a record in the "Invoices" database with a unique UID.
- Telegram reporting: After creating an invoice, the bot sends a structured message (Project -> Task List -> Prices -> Total).
- Smart interface (Formula 2.0): Implemented a dynamic toggle button. It automatically changes the state from "Confirm Payment" to "Reset Payment" depending on the status in the database.
- Payment and archiving automation:
- Upon payment confirmation, the script in one second:
- Sets the status "Paid" for all related tasks.
- Records the payment date.
- Fills in deadlines (if they were empty).
- Moves tasks to the archive.
- Rollback function: The ability to instantly cancel payment and return tasks from the archive to active status.
Technical Stack:
- Backend: Python (Notion SDK).
- Infrastructure: Vercel Serverless Functions (high speed, $0 hosting costs).
- Frontend: Notion API + Formula 2.0.
- Integration: Telegram Bot API.
Result:
Time spent on routine accounting and task closure has decreased from 15 minutes to a few seconds. Errors in invoice generation and data transfer to the archive have been completely eliminated.
Want to automate your processes in Notion? Write to us, and we will discuss your task!
#notion #notionapi #python #Automation #API integrations #vercel #Automation
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Website analysis and verification system
PythonA Python tool has been developed for automated analysis of websites and assessment of their quality. The system processes a list of websites, checks availability, redirects, HTTPS, page structure, and the number of internal links. Additionally, a content analysis module has been implemented to identify risks based on key categories. Features of the solution include:
- parallel processing of a large number of websites
- execution time control and forced termination of hanging processes
- handling of blocks, redirects, and unstable responses
… - analysis of website structure (internal pages, sitemap)
- identification of content risks (SAFE / MEDIUM / HIGH)
The solution is aimed at checking websites before launching advertising campaigns and working with large volumes of data. Technologies used: Python, multiprocessing, requests, BeautifulSoup, pandas.
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113 USD TG bot for photo sessions with NANO BANANA PRO
PythonI created a bot that takes professional photos based on a prompt or reference.
PHOTO modes:
1K (basic) — from 10 UAH
… 2K (standard) — from 15 UAH
4K (premium) — from 25 UAH
The difference from the original NANO BANANA is that you can immediately receive photos in the required aspect ratio format for any task - stories or posts on Instagram or for a website - blog.
Payment is also linked through monobank.
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61 USD Telegram bot for communication between children and teachers
PythonThis project I did for the school I am graduating from, it was created to simplify communication between children and teachers, and to conduct social surveys and various polls.
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158 USD Instagram Automation via n8n and GPT
PythonIntelligent AI Assistant for Instagram Direct with Voice Control
Description: An advanced AI-driven system for Instagram Direct that automatically processes text and voice queries, leverages GPT-4o for deep analysis, and delivers structured, context-aware responses.
Technical Achievements: Implemented seamless speech-to-text transcription using OpenAI Whisper, engineered workarounds for Instagram API character limits (1,000+ characters), and ensured robust data transmission via advanced JSON escaping and validation.
Tech Stack: n8n, OpenAI API (GPT-4o & Whisper), Meta Graph API, Docker
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main_translate.
PythonThis is a desktop application in Python, developed for the Ubuntu operating system, which allows for instant translation of text directly from the screen. The project combines image capture tools and optical character recognition (OCR).
Key technical features:
Interface (GUI): Built on the Tkinter library (or a similar GUI framework), providing ease and speed of program operation.
Screen capture: Functionality implemented for selecting a specific area of the screen for real-time screenshot.
… Recognition technology (OCR): Use of Tesseract OCR (via the pytesseract library) to convert image text into digital format.
Translation integration: Automatic sending of recognized text to translation APIs (e.g., Google Translate) for instant results.
Optimization for Linux: The project is developed with consideration of the specifics of window manager operation in Ubuntu.
Purpose:
The Screen Translate project is a useful tool for users working with foreign content that does not support regular text copying (videos, images, protected PDF files, or games). It demonstrates your skills in working with system utilities, image processing, and third-party APIs.