Open-source Telegram userbot framework written in Python, enabling automation and customization for a large user base, with more than 7.9k active users. Features a modular design with over 200 plugins for utility, moderation, and scalability. Actively maintained on GitHub with 2.8k+ stars, fostering collaboration and innovation.
- Python
- MongoDB
- SQL
- Dockerfile
- Shell
Automated Telegram channel join requests with features like auto-approval, auto-decline, and customizable welcome messages, significantly reducing manual administrative overhead. Enhanced accessibility due to support for more than 25 regional languages. More than 1 million active users worldwide.
- TypeScript
- MongoDB
- Deno
- I18n
Developed a WhatsApp automation bot using whatsapp-web.js that automated image-to-sticker conversions, attracting over 2.5k users in the first week prior to release. Integrated QR code generation for easy WhatsApp login. Built backend functionality with JavaScript and Node.js for efficient account utilities.
- JavaScript
- whatsapp-web.js
- Node.js
Developed an Android application that allows users to search for lyrics based on song titles. Designed a clean, user-friendly interface with Jetpack Compose and optimized performance for fast and responsive lyrics loading.
- Jetpack Compose
- Kotlin
- Android Studio
Developed a VSCode extension that integrates the Telethon library, providing developers with code snippets to streamline Telegram bot development. Published the extension on Visual Studio Marketplace and has over 5k installations.
- Telethon
- Visual Studio Code
Designed a print automation platform where students can upload documents, monitor the status of the print queue in real time, and pay with an integrated wallet. Developed an automated slip and gate pass request system which supports digital approval of different forms, like pink slip, lab entry, ID replacement, with automated notifications to faculty. Integrated vending machine hardware with QR codes for food distribution and quantity optimization to reduce waste. Created a multiplatform application in Flutter, to improve the student experience on all the services, enhancing operational effectiveness and campus life.
- Dart
- Flutter
- TypeScript
- Deno
- JavaScript
- C
- ESP32
- ESP32CAM
- MongoDB
Developed a sensory monitoring system using Arduino UNO and NodeMCU with various sensors to track and adjust room temperature, air quality, and gas levels. Implemented real-time environmental data processing and feedback mechanisms to optimize room conditions based on sensor input. Developed a user-friendly interface across the website and Android platforms to visualize sensor data and manage environmental parameters, improving room comfort and safety.
- C
- Arduino UNO
- NodeMCU
- Jetpack Compose
- HTML
- CSS
- Deno
- JavaScript