SenoNav AI

💡 Inspiration

Breast cancer patients often struggle with fragmented pathology, imaging, prescriptions, and biomarker records when seeking their next medical opinion. This inspired us to build SenoNav AI.

🚀 Our Solution

SenoNav transforms scattered medical records into an evidence-linked Care Passport, separating information into Confirmed, Missing, Unclear, and Conflicting categories. It also provides referral-readiness insights and a structured handoff package.

🛠️ How We Built It

We combined AI, OCR, NLP, RAG, and a modular web architecture to extract information, link it to source evidence, and organize it into a patient-friendly format.

📚 What We Learned

We learned that healthcare AI must prioritize evidence, transparency, uncertainty, and human review, rather than simply generating answers.

⚡ Challenges

Our key challenges were incomplete records, conflicting information, AI hallucinations, document variations, and healthcare data privacy.

🌍 Our Vision

SenoNav AI doesn't replace doctors—it helps patients become better prepared for the next step.

Built With

• amd
• fastapi
• ocr
• postgresql/sqlite
• python
• qwen2.5-7b-instruct
• rag
• react
• tailwind-css
• vllm