Fix database interval query parsing for PostgreSQL and improve state case-insensitivity

Fix heatmap tooltip hover and add missing database indices to optimize API performance

Fixed UI responsiveness issues and redesigned certain sections

feat: implement balanced event fetching and add privacy policy

Feat: Update local SQLite cleanup policy to 24 hours

Fix RealDictRow integer indexing in update_state_aggregations

Fix numpy float64 serialization for psycopg2

Fix cursor-level SQL translation + add protobuf/sentencepiece

Fix Postgres INSERT syntax and IndicBERT auth

Configure zero-cost deployment architecture (HF & Supabase)

Fix ingestion DB path, update feedparser logic, and implement light UI theme

feat: finalize local-first architecture and optimize memory usage

Fixed memory Leak

Bug fix and performance optimization | Checkpoint 1.0

Fixed Backend

feat: Implement advanced ML classifier and massive data ingestion modules, along with comprehensive documentation and README updates and Removed synthetic data ingestion and generation.

feat: Implement an advanced ML classifier with new Indian misinformation datasets and add comprehensive system and ML model documentation.

feat: Implement advanced ML for enhanced fake news detection, including a new Indian misinformation dataset, enhanced heatmap, and documentation.

Before starting Model accuracy upgrades

fix: backend/requirements.txt to reduce vulnerabilities

Update dashboard styling to match home page and add static assets serving for Indian flag

UI improvements: Remove redundant risk levels and enlarge news feeds

Performance optimizations and UI improvements

Fix: Correct fake news probability calculation and map coloring

Cleanup: Use only maps from map/ folder

Initial commit: Enhanced Fake News Detection System