v1.2 - Integrated Chest X-ray and Skin Lesion CV models

• Successfully working overall architecture of Automated Agent Routing with LangGraph.
• Successfully working Conversation Agent fine-tuned for medical domain.
• Successfully working RAG agent.
• Successfully working Web Search agent.
• Successfully working routing from RAG to Web Search based on Retrieval Confidence score (if low).
• Successfully working routing to appropriate Medical Computer Vision agent based on Classification of uploaded image (brain MRI / chest X-ray / skin lesion).
• Successfully storing conversation history till specified length.
• Successfully working backend and frontend.
• Added ingest_rag_data.py to manually ingest new data for information retrieval.
• Currently document parsing implemented with PyPDF2, later will provide option of unstructured.io as well (needs tesseract and poppler installation at system level).
• Successfully working Medical Computer Vision model agents - Chest X-ray Covid-19 classification, and Skin Lesion Segmentation.

What's Changed

• First Commit - Working Version by @souvikmajumder26 in #1
• Deleted old scripts by @souvikmajumder26 in #2
• Updated README by @souvikmajumder26 in #18
• Create FUNDING.yml by @souvikmajumder26 in #19

New Contributors

• @souvikmajumder26 made their first contribution in #1

Full Changelog: https://github.com/souvikmajumder26/Multi-Agent-Medical-Assistant/commits/v1.0

What's Changed

• Added ingest_rag_data.py by @souvikmajumder26 in #21

Full Changelog: v1.0...v1.1

What's Changed

• Added chest x-ray agent by @souvikmajumder26 in #22
• Added skin lesion agent by @souvikmajumder26 in #23

Full Changelog: v1.1...v1.2