Tweets Summarizer

Tech Stack Used:

Python, FastAPI, React, Redux, MongoDB, Firebase, LangChain API

Live Link:

https://tweets-summarizer-frontend.vercel.app/

Github Repo Link:

https://github.com/Shoyo-Hin4ta/TweetsSummarizer

Project Learnings

Implemented a robust data pipeline that integrates web scraping, language model-based summarization, and database storage.

Utilized the FARM stack (FastAPI, React, MongoDB) to build a scalable and efficient backend, leveraging Uvicorn as the ASGI-compatible web server.
Incorporated Firebase for user authentication, enabling users to sign up and have their summarized tweets stored in a MongoDB database.
Gained proficiency in managing complex state and data flows within the React-powered frontend, ensuring a seamless user experience.
Overcame the challenge of working with Python in the backend, exploring FastAPI and the motor library for database connectivity, and successfully integrating the LangChain API for text summarization.

Through this project, I expanded my skills in full-stack web development, including backend development with Python, frontend development with React, and the integration of advanced NLP capabilities. The lessons learned from this endeavor have further strengthened my ability to tackle complex, real-world challenges and deliver innovative solutions.