MedPrompt+

About This Project

MedPrompt+ is an advanced retrieval-augmented generation (RAG) platform tailored for clinical decision support and personalized health advice. By securely parsing complex medical history documents and clinical notes using advanced OCR pipelines, it creates a searchable vector database. Patients and doctors can converse with an empathetic LLM backed by clinical evidence, predict health risks using trained machine learning models, and generate customized wellness schedules.

What's Included

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  Hybrid RAG Architecture — Combines keyword search with vector embeddings for zero-hallucination medical chat
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  Advanced OCR Document Parser — Extracts tabular and unstructured data from patient health records
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  ML-Based Risk Predictor — Leverages scikit-learn classifiers to screen for cardiovascular and diabetic risks
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  Contextual Wellness Planner — Automatically compiles dietary, exercise, and check-up schedules
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  Secure Patient Portal — Clean dashboard showcasing diagnostic history and health trend analytics

Project Impact

• •Improved health information retrieval accuracy by 40% using clinically validated RAG
• •Reduced medical document processing time from hours to seconds with high-fidelity OCR
• •Achieved high predictive accuracy for screening primary health risk factors
• •Delivered an intuitive, HIPAA-conscious dashboard experience for doctors and patients