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https://github.com/dadvaiahpavan/kgr-canteen-chatbot
https://github.com/dadvaiahpavan/kgr-canteen-chatbot
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/dadvaiahpavan/kgr-canteen-chatbot
- Owner: DadvaiahPavan
- Created: 2023-08-24T15:03:29.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-08-24T15:09:11.000Z (over 1 year ago)
- Last Synced: 2023-08-24T17:08:49.735Z (over 1 year ago)
- Language: Python
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# KGR-Canteen-Chatbot
![Project Image](project_image.jpg)
## About the Project
The "Canteen Chatbot" project aims to enhance the campus dining experience by leveraging AI and chatbot technology. The chatbot allows students to seamlessly place orders, receive real-time updates on order status, and receive personalized meal recommendations. The project focuses on reducing waiting times, improving order accuracy, and optimizing menu offerings based on data analytics.
## Features
- Order placement and real-time updates
- Personalized meal recommendations
- Data-driven insights for canteen optimization
- Natural language and image processing for user-friendly interactions
- Integration with Telegram for user communication
- Multiple payment options: online and offline
- User feedback mechanism for continuous improvement## How to Use
1. [Installation](#installation)
2. [Usage](#usage)
3. [Contributing](#contributing)
4. [License](#license)## Installation
1. Clone the repository: `git clone https://github.com/your-username/canteen-chatbot.git`
2. Install required dependencies: `pip install -r requirements.txt`## Usage
1. Set up your Telegram bot and API credentials.
2. Configure the necessary settings in `config.py`.
3. Run the chatbot application: `python main.py`
4. Interact with the chatbot via the provided Telegram link.## Contributing
Contributions are welcome! Please follow the guidelines outlined in [CONTRIBUTING.md](CONTRIBUTING.md).
## License
This project is licensed under the [MIT License](LICENSE).
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Created by Pavan and My Team Members: Tanuj, Shalivahan, Rakesh.