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MedIntel AI Enterprise Pro

Report understanding, symptom triage, emergency help, nearby care, multilingual voice, and patient history.

⏳ Checking backend…
Supportive AI only — not a substitute for doctor

Build a safer medical AI experience that understands reports, not just keywords.

Structured medical intelligence: OCR, PDF extraction, biomarker interpretation, symptom triage, emergency detection, nearby hospitals, language support, voice input/output, and long-term patient history.

OCR Optimization Medical NER Biomarker Understanding Emergency SOS Maps & Navigation
Real report understandingExtract glucose, Hb, HbA1c, BP, creatinine and convert them into clinical meaning.
Safer medicine guidanceFiltered by age, gender, allergy, pregnancy, history, and risk context.
Emergency detectionChest pain, left arm numbness, sweating, breathing trouble, stroke signs trigger urgent care.
Voice & multilingual UXHindi / English / Bengali / Tamil / Kannada support with speech-to-text and text-to-speech.

Patient profile snapshot

Profile data stored locally. Connect PostgreSQL / MongoDB in backend for production.

📄 Medical report intelligence

Upload an image, PDF, or paste OCR text. The front end will try backend analysis first, then fall back to local parsing.

Analyzing report with OCR, layout extraction, medical NER, and clinical reasoning…

🧠 Output hierarchy

The report is interpreted in layers:
1. OCR text2. Layout / sections3. Medical entities4. Biomarker meaning5. Safety filters6. Next steps
Example: glucose 260 → high blood sugar / diabetes risk; haemoglobin 8 → anemia risk; blood pressure 160/100 → hypertension concern.
Safety-first medicines: age, weight, allergies, pregnancy, chronic disease, and report context are checked before any suggestion.
Important: Handwritten prescriptions in India should not be auto-turned into a fake prescription. Extract and explain, then suggest doctor review.

🤖 Symptom checker AI

Describe symptoms in plain language. The checker returns possible causes, urgency level, and recommended tests or action steps.

Examples: viral fever, dengue, food poisoning, dehydration, emergency chest-pain patterns, or routine care advice.

⚠ Emergency detection engine

No emergency signal yet.
High risk patternsChest pain + left arm numbness + sweating, stroke signs, breathing trouble, severe bleeding, confusion, or very low consciousness.
What the AI will sayPossible heart attack risk. Seek emergency care immediately. Trigger SOS, nearest ambulance, and one-tap navigation.
SOS featureEmergency contacts, nearest ICU, ambulance, and navigation shortcuts visible together.

🗺 Nearby doctor, hospital, pharmacy & emergency map

Uses geolocation + OpenStreetMap Leaflet. Can also open Google Maps / OSM navigation links and search nearby specialties.

🚑 Emergency shortcuts

Emergency numberCall 112
AmbulanceCall 108 (India)
Nearest hospitalGenerated from your current location on the map below.

Nearby results

Quick navigation

💬 AI medical chatbot

The chatbot remembers prior report context, explains medicines and diseases, answers diet questions, and supports multilingual conversation.

📚 Medical history & trend memory

Store sugar, BP, symptoms, medicines, and recurring issues in local history now; connect to a real database later.

Sugar trend
BP trend

Saved history summary

No history saved yet.

🔐 Authentication & access profiles

For production, connect these to PostgreSQL / MongoDB and a proper auth backend.

Use patient, doctor, and family views to control report visibility, prescriptions, consent, and emergency sharing.

🌐 Multilingual and accessibility controls

Keep the UI simple, voice-enabled, and high-contrast so elder users can use speech-to-text, read large text, and hear medicine names.
Backend endpoints this front end expects
/health, /analyze-report, /analyze, /chat, /triage, /nearby-care, /sos, /auth/login, /auth/register, /history, /export, /prescription-safety, /voice-transcribe