silent-platform

byGitmushtaq

We are building a product called PulseVision. This is a full-stack AI-powered healthcare platform that helps users understand medical reports and take real-world action. 🧠 CORE VISION PulseVision converts: 👉 Medical Report → Insight → Decision → Action → Follow-up We are NOT building a diagnosis system. We are building a: 👉 Health Decision & Navigation Platform 🎯 PRIMARY USER FLOW A user should be able to: Upload a medical report (PDF/image) System analyzes it Get simplified explanation Understand risk level Get doctor recommendation See nearby hospitals Take action (call / navigate) Save and return later 🏗️ SYSTEM ARCHITECTURE FRONTEND Framework: React (Vite) Styling: Tailwind CSS Routing: React Router Pages: Dashboard Upload Screen Analysis Progress Screen Results Screen Saved Reports BACKEND Framework: FastAPI (Python) Structure: backend/ ├── main.py ├── routes/ ├── services/ ├── utils/ └── models/ AI / PROCESSING LAYER OCR (basic for now) Text parsing Rule-based risk detection Doctor recommendation engine 🧩 CORE FEATURES 1. REPORT UPLOAD Accept PDF / Image Validate file Send to backend 2. OCR + ANALYSIS Backend should: Extract text Identify key values (LDL, sugar, hemoglobin) Normalize values Detect abnormalities 3. RISK ENGINE Output: Risk level: Low / Medium / High Confidence score 4. DECISION ENGINE Map: Biomarkers → Doctor type Example: High cholesterol → Cardiologist Low hemoglobin → General physician 5. RESULTS OUTPUT Frontend should display: Summary (simple language) Risk level Doctor recommendation Detected values Confidence 6. HOSPITAL INTEGRATION Use: Google Maps Places API Fetch: Nearby hospitals Rating Distance Address Phone number 7. ACTION SYSTEM User should: Call hospital (open dialer) Open map (Google Maps) 8. SAVE & RETURN Save report Reopen later Resume action 9. ANALYTICS Track: Upload success Analysis success CTA clicks Call clicks Map clicks Save → return → action 🔄 FRONTEND FLOW Step 1: Dashboard Overview Recent reports “New Analysis” button Step 2: Upload Drag & drop File preview Upload button Step 3: Progress Show steps: Reading report Extracting data Analyzing Generating result Step 4: Results Show: Risk level Doctor Next steps Hospital list CTA button Save option 🔌 API DESIGN POST /upload Input: file Output: job_id GET /analyze/{job_id} Output: { "summary": "", "risk_level": "High", "doctor": "Cardiologist", "confidence": 0.85, "detected_values": [] } GET /hospitals/nearby Input: latitude longitude specialty Output: list of hospitals ⚠️ IMPORTANT RULES Do NOT overcomplicate Do NOT use heavy ML models initially Use rule-based logic first Keep UI clean and professional Keep frontend and backend modular 🚀 DEVELOPMENT PHASES Phase 1: MVP UI screens Mock data Basic flow Phase 2: Real Integration Backend connection OCR Real hospital API Real actions Phase 3: Advanced Better AI models Personalization Notifications Health tracking 📦 FINAL DELIVERABLE A working system where: User uploads report Gets analysis Sees hospitals Takes action 🎯 END GOAL This should feel like: 👉 A real product 👉 Not a prototype 👉 Not a demo