I-NEPAL is an innovative online application designed to revolutionize Twitter data research. It offers real-time monitoring, sentiment analysis, and comprehensive engagement analytics. Built with React, Python, TypeScript, MongoDB, Pandas, and Torch BERT model, I-NEPAL provides a user-friendly experience.
- Clone the Repository:
git clone https://github.com/your-username/I-NEPAL.git - Navigate to the Project Directory:
cd I-NEPAL - Install the Required Dependencies:
yarn install - Start the Development Server:
yarn dev - Open your Browser and Visit
http://localhost:3000to access the application.
- Next.js: A JavaScript library for building user interfaces.
- Python: Programming language used for data processing and analysis.
- Twitter API: Access Twitter data and perform various operations.
- Redux: State management for React applications.
- TypeScript: A statically typed superset of JavaScript.
- MongoDB: A NoSQL database for storing application data.
- Pandas: A Python library for data manipulation and analysis.
- Torch BERT Model: A pre-trained deep learning model for natural language processing.
This project is licensed under the [MIT License].
We would like to express our gratitude to our supervisor Mr. Prakash Poudel for his guidance and support throughout the development process. Additionally, we would like to thank Pokhara University and Nepal College of Information Technology for providing the necessary resources and opportunities to work on this project.
The backend model uses the following model: hugging-face
Official Documentation and Reprt for I-NEPAL can be found here.