PDF Text Extraction from Legal documents for creating Knowledgebase
🟢 Green
Text extraction from PDFs is fully functional. Handles most formats well.
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Semantic Search Implementation
🟢 Green
Semantic search works as expected. Retrieves relevant chunks from documents.
Can try Hybrid search i.e. Semantic search and similarity search
DuckDuckGo Web Search Integration
🟢 Green
Web search fallback is operational and provides useful results.
Can compare results with using different ai-powered free open-source search engine
AI-Powered Summarization
🟡 Amber
Summarization works but needs fine-tuning for better brevity and accuracy.
Fine-tune llms based on Indian legal datasets for better results.
Gradio Chat Interface
🟢 Green
Chat interface is fully functional and user-friendly.
Add full-fledged backend using express, node.js and db.
Indian Law Specialization
🟡 Amber
System is trained on Indian laws but needs more data for better accuracy.
Expand training dataset for higher accuracy.
Error Handling & Fallbacks
🟢 Green
Robust error handling is in place for most edge cases.
Proper vigilance on api checkpoints for error handling
Deployment & Scalability
🟡 Amber
System is deployed but response time takes on an average 10-15sec due to non-availability of GPU & TPU. Also needs optimization for handling high user traffic.
Explore GPU/Cloud options for faster performance.
Documentation
🟢 Green
Project documentation is complete and well-organized.
Periodic updates to reflect changes in features and functionality.
Future Enhancements Planning
🟡 Amber
Plans for multilingual support and mobile app are in progress.
Continue development for multilingual and mobile app features.