Welcome to the KIIT HELP Bot repository! This Python Telegram bot serves as a comprehensive solution tailored specifically for KIIT students. Whether you need assistance in accessing personalized timetable, calculating SGPA, exploring placement opportunities or simply have some fun with friends, this bot has got you covered! 🎓 This bot is equiped with Placement and Salary prediction features based on Machine Learning (ML) Algorithms . The bot is deployed on AWS cloud for seamless accessibility Thus making it a complete end-to-end real world project .
- Initializes the bot and gets it ready for use.
- Provides assistance and guidance on how to use the bot.
- Access your personalized timetable by providing your roll number.
- Format:
/timetable <Roll_Number> - Example:
/timetable 21052142
- Calculates your SGPA based on the provided grade points and credits for each subject.
- Format:
/sgpa <Grade_Point1> <Credits1> <Grade_Point2> <Credits2> ... - Example:
/sgpa 8 3 9 3 8 4
- Engage in a conversation with the bot for various inquiries.
- Format:
/chat <Your_Query> - Example:
/chat Describe Bhubaneshwar
- Explore placement opportunities using machine learning algorithms (KNN).
- Format:
/placements <arg1> <arg2> <arg3> ... - Example:
/placements arg1 arg2 arg3
- Predict salary ranges based on given parameters using XGBoost (ML).
- Format:
/salary <arg1> <arg2> <arg3> ... - Example:
/salary arg1 arg2 arg3
- Get information about job openings using the Job API.
- Format:
/job <Job_Title> - Example:
/job Web Developer
- Explore various fun features including movie APIs , love percentage calculator among others .
This bot is deployed on AWS cloud for seamless accessibility.
You can interact with the bot live on Telegram : https://t.me/kiithelpbot.
This project is developed and maintained by Anunay Kumar .
Contributions are welcome! Feel free to fork this repository, make changes, and submit a pull request.
If you encounter any issues or have suggestions for improvements, please feel free to open an issue in the GitHub repository.
This project is licensed under the MIT License.