SPD Current Affairs for Bangladeshi Students - Web App
Project Overview
Developed a news summarization web app using Flask and Natural Language Processing. Implemented customizable source selection from 15+ news outlets.
Reduced reading time by 60% while maintaining 90% content accuracy. Served 500+ users in the first month of deployment.
Key Features
- News summarization
- Customizable source selection (15+ news outlets)
- Flask framework
- Natural Language Processing
- Reduced reading time by 60%
- 90% content accuracy
- Served 500+ users in first month
Technology Stack
Python
Core language for backend logic and NLP.
Flask
Web framework for the application.
Natural Language Processing
For text summarization.
Results & Impact
Successfully reduced reading time by 60% and served over 500 users in the first month, demonstrating effective news aggregation and summarization.
Future Enhancements
- More news sources
- User personalization
- Sentiment analysis
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