Feat: Hybrid Message Notification Router with Multimodal Retrieval

[ka234388]

Feat: Hybrid Message Notification Router with Multimodal Retrieval

🚀 Overview

Implemented a personalized AI-powered Message Notification Router for WhatsApp messages across text, image posters (OCR), and audio voice notes (Whisper transcription).

🛠️ Key Improvements & Features

1. Hybrid Retrieval Fusion Engine (code/context_builder.py):
   • Fuses Sparse Lexical TF-IDF (exact tracking links/order IDs) with Dense Neural Embeddings (all-MiniLM-L6-v2) to capture implicit intent and paraphrasing.
   • Applies Reciprocal Rank Fusion (RRF) with metadata bonuses (sender match, group role, business order history).
2. Multimodal Processor (code/multimodal.py):
   • Integrates Windows Native OCR for images and Whisper audio transcription for voice notes.
3. Comparative Benchmark Suite (code/retrieval_comparison.py):
   • Achieves 100% Action Accuracy on ground-truth sample evaluation.
   • Increases Evidence Retrieval Match Recall from 60.00% to 66.67%.
4. Interactive Dashboard (code/ui_dashboard.py):
   • Streamlit visual dashboard for real-time routing analysis.

🧪 Verification

• python code/retrieval_comparison.py (All metrics verified)
• python code/eval_sample.py (Action Accuracy: 100.0%)
• python code/main.py (Regenerated dataset/output.csv for all 110 messages)