BioSense_Pitch_Deck.pptx by Rakesh Behera

Please follow it

1. BioSense Patch AI-powered Breath Diagnostic Patch

2. Problem Late detection of chronic diseases like diabetes and lung issues. Invasive, expensive, or unavailable diagnosis. Rural areas lack access to non-invasive diagnostic tools.

3. Solution Wearable patch that detects VOCs in breath. Bluetooth + AI mobile app for real-time diagnosis. Non-invasive, low-cost, portable solution.

4. Technology Overview Nano gas sensors embedded in patch. ESP32 microcontroller and BLE communication. Flutter-based app for data visualization. AI model detects disease markers from VOCs.

5. Market Opportunity $15B global breath diagnostics market. High demand from healthcare, military, and fitness. 10M+ rural health workers in India alone.

6. Business Model Patch: ₹3K–10K one-time device. App: ₹99–299/month for AI diagnostics. B2B licensing to hospitals, NGOs, health programs.

7. Traction Prototype built using ESP32, BME688 sensor, Flutter UI. Incubator interest from AIIMS AIC, BIRAC. VOC dataset and AI model training initiated.

8. Funding Requirement ₹20L–₹50L seed funding required. Prototype refinement, field pilots, patent filing. Team hiring, B2B sales pipeline setup.

9. Target Partners & Grants BIRAC BIG Grant – ₹50L non-equity. Y Combinator – $500K seed. MIT Solve – $10K–100K grants. AIIMS AIC, Hello Tomorrow, Antler.

10. Roadmap M1–3: Prototype finalization. M3–6: Pilot testing at PHCs. M6–9: Patent filing + regulatory approvals. M9–12: Market launch + B2B sales.

11. Team [Your Name], Medical Student, Innovator. Seeking co-founders in AI, Embedded Systems. Advisors from Medical College & AI Institutes.

12. Call to Action Join us in making diagnostics accessible to all. Contact: [Your Phone / Email]