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A centralized digital healthcare platform for secure medical record storage, telemedicine, physiotherapy, and AI-driven disease prediction.

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ItsSitanshu/swastha-lab

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स्वास्थ्य Lab

Problem Statement

Nepal, with its rapidly increasing population, faces a prominent risk on a daily basis: health. To be specific, the current healthcare system is fragmented into multiple parts, unable to be accessible together as a whole. Problems such as displacement of physical report files or diagnosis leave patients, along with their caregivers, as victims of decentralization of medicine. This poses a great threat to citizen health and well-being.

Solution Statement

This project addresses that very issue by diligently providing a digital platform to not only centralize all medical records but also provide physiotherapy sessions when required, merged with telemedicine, all for your convenience. This app will offer:

  • Secure, encrypted data protection
  • Centralized storage for medical records
  • Virtual consultations with doctors
  • Retrieval-augmented generation-based prescription and doctor consultation recall
  • Physiotherapy sessions via video or recordings
  • Medical imagery processing
  • Easy appointment scheduling and reminders
  • Medication tracking and reminders
  • Simple, accessible interface for all users
  • ML models for disease prediction, including:
    • Diabetes
    • Asthma
    • Lung Cancer
    • Health watch data integration
  • Health watch integration

Contribute

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

The Initial Team

Sitanshu Shrestha - Lead Developer
Sourya Udas - IoT Engineer
Pranjal Panthi - Frontend Developer
Aashug Baruwal - Data Analyst
Rajit Acharya - Data Analyst / Lead Presenter

Architecture

We opted for a dual backend architecture with Supabase paired with PostgreSQL as the authentication and general backend + Flask as a machine learning backend.

Production

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A centralized digital healthcare platform for secure medical record storage, telemedicine, physiotherapy, and AI-driven disease prediction.

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