Contact person: Business Client

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Location: Ghaziabad, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Project Title

Fetal Biometry AI — Medical-Grade Fetal Biometry Platform (Web + Cloud + AI + PDF Reports)

Short overview (paragraph)

We need a production-ready, medical-grade web platform that accepts DICOM and image uploads, runs fetal biometry AI (segmentation + measurements), and produces multi-language, customizable PDF reports for patients and doctors. The platform must include an admin/hospital dashboard, secure global hosting, PACS/EMR integration, geo-specific payment flows, AI assistant explanations, model versioning and audit logs, HIPAA/GDPR-level security, and a developer API. The system will be mobile-optimized, support multiple languages, and provide thorough documentation and support for hospitals and clinicians. Full specification attached.

Objectives (bulleted)

Deliver an end-to-end platform for automated fetal biometry and reporting.

Provide PDFs for patients, doctors, and technical audit (multi-language, customizable).

Secure cloud hosting with global performance, autoscaling, CDN.

Integrate AI assistant (ChatGPT/LLaMA style) for report explanations and doctor notes.

Provide PACS / EMR / HL7 connectivity and developer API for hospital integration.

Implement geo-aware payment processing (UPI, Stripe/PayPal, Alipay/WeChat, Klarna, iDeal, etc.).

Ensure medical compliance (HIPAA/GDPR), auditability, and model versioning.

Features — comprehensive list (from uploaded spec)
1. PDF generation (multi-level)

Patient Report: patient info, measured parameters (HC, BPD, AC, FL, etc.), gestational age estimation, growth curves, ellipse overlay images, abnormality flags.

Doctor Report: segmentation masks, ellipse parameter table, DICOM metadata summary, model version + confidence.

Technical Report: preprocessing steps, windowing details, pixel spacing, device info, inference logs.

Multi-language: English, Hindi, Gujarati, Tamil, Telugu, Arabic, French, Spanish, and more.

Customizable: hospital logo, doctor signature block, custom colors/branding, watermark, confidential mode (password-protected PDFs).

2. Customization

Per-hospital branding (logo, colors), per-hospital PDF templates, ability to toggle fields, signature blocks.

3. Hosting & Deployment

Cloud hosting on AWS/Google Cloud/Azure with CDN caching, serverless autoscaling and global optimization.

Infrastructure as code (IaC) for reproducible deployments.

4. AI assistant integration

“Explain My Report” feature using ChatGPT/LLaMA for patient-friendly summaries and auto doctor notes.

Medical terminology converter and translation engine.

Configurable detail levels (patient vs. clinician).

5. Geo-specific payments

Auto-detect user country and present relevant payment methods (UPI for India, Stripe/PayPal global, Klarna for Europe, iDeal, Alipay/WeChat).

Payment receipts (PDF) auto-emailed and stored.

6. Website pages (7–8 main pages)

Home, Upload DICOM, Result Dashboard, Hospital Admin Dashboard, Pricing, Developer API Documentation, User Login/Signup (plus ~/-2 pages as needed).

7. Legal & compliance

DMCA if needed, Terms & Conditions, Privacy Policy with HIPAA/GDPR wording, medical disclaimers.

8. Analytics

Google Analytics integration, heatmaps, conversion tracking (and ability to pay for analytics tooling if required).

9. Mobile optimization

React + Tailwind responsive UI, fast loading (<2s target), mobile DICOM and image upload support and UX.

10. Security & medical-grade requirements

HIPAA-compliant storage and processes, encryption at rest and in transit, secure DICOM upload, role-based access control, data anonymization, access audit logs.

11. Model versioning & auditability

Every inference links to model version + confidence, changelog for hospitals, reproducible inference traceability.

12. Hospital audit logs

Upload history, model version used, timestamped results, PDF download logs.

13. Hospital API & integration

PACS connectivity, EMR/HL7 integration, batch DICOM processing, developer API with API key management.

14. Receipts

Payment receipt PDFs that are GST-ready for India and auto-emailed.

15. Admin Panel

User/hospital/model management, payments dashboard, usage statistics, API key issuance & revocation.

16. Future AI models (roadmap)

Fetal weight estimation, brain chamber analysis, placenta segmentation, umbilical cord assessment, others.

17. Conversion utilities

DICOM → image converter (separate page), image → DICOM converter, storage of metadata for hospitals.

18. Misc

Allow users/hospitals to upload images directly (from phone camera). If upload fails, show retry/reupload message. Iterative changes accepted during development.

Fetal biometry parameters (must be implemented / supported)

(Include all listed metrics in the algorithm and the report)

CRL, BPD, HC, OFD, AC, FL, HL, EFW, NT, NB, TCD, Cisterna Magna, Lateral Ventricle Size (LV), Cerebellum Size, AFI, SDP, FHR, Placental Grade (0–3), HC/AC ratio, FL/AC ratio, FL/HC ratio, Orbital Diameters (IOD, BOD), Liquor Volume, Umbilical Artery Doppler, MCA Doppler, CPR, EFW percentile, Gestational Age estimation parameters." (client-provided description)