ReportSenseAI is a RAG application designed to parse blood sample reports and provide precise, report-relevant answers. Using OCR tools like PyTesseract and advanced Generative AI LLMs, it focuses solely on medical queries, ensuring accurate, context-specific responses. Perfect for making medical data clear, accessible, and actionable.
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🚀 Features 📚 RAG Architecture: Combines document retrieval with generative AI for accurate, context-aware interactions. 🔍 Report-Specific Querying: Focused exclusively on questions relevant to the uploaded medical report. 🖹 OCR Integration: Utilizes PyTesseract to parse detailed text from medical reports. 🤖 Generative AI LLM: Powered by state-of-the-art language models for intelligent and precise answers. 🎨 Streamlit-Based Interface: Simple, user-friendly design for seamless interaction. 🔒 Secure Data Handling: Ensures privacy and security of sensitive medical data.
🛠️ Technology Stack Frontend 🌐 Streamlit for a dynamic and intuitive UI. Backend 🖹 PyTesseract for OCR-based text extraction. 💡 Google Generative AI for LLM-based text refinement and querying.
🌟 Environment Management 🔐 .env Files: Securely manage API keys and sensitive credentials with Python .env files.
Let me know if you'd like further refinements! 😊