TrueDoc is a blockchain-backed digital health-records system designed to provide a secure approach to storing and accessing healthcare information. The project was developed as a national hackathon solution with separate frontend, backend, mobile, and machine-learning components.

Details
- Role
- Full Stack Developer
- Client
- National Hackathon Project
- Duration
- Hackathon Project
- Year
- 2024
- Stack
- Blockchain
- Machine Learning
- React Native
- React
Challenge
Digital health records require secure handling and controlled access to sensitive healthcare information. The project focused on building a system where health records could be managed digitally while using blockchain technology as part of the security and trust model.
Solution
TrueDoc was structured as a multi-component platform consisting of frontend, backend, mobile, and machine-learning repositories. Blockchain technology was used as a core part of the digital health-record architecture, while React Native was used for the mobile experience.
Results
The project resulted in a working national hackathon solution combining digital healthcare records with blockchain and machine-learning technologies.
Features
- Digital Health Records
- Provides a digital approach to managing and accessing healthcare records.
- Blockchain-Backed Architecture
- Uses blockchain technology as part of the architecture for secure and trusted health-record management.
- Machine Learning
- Includes a machine-learning component as part of the healthcare solution.
- Mobile Application
- A React Native based mobile component provides access to the healthcare experience on mobile devices.
- Multi-Application Architecture
- The project was organized into separate frontend, backend, mobile, and machine-learning components.
Process
Problem Research
Studied the requirements around digital healthcare records and secure access to medical information.
- Problem analysis
- Healthcare workflow
- System requirements
System Architecture
Designed the project as multiple coordinated components covering frontend, backend, mobile, and machine learning.
- Frontend architecture
- Backend architecture
- Mobile architecture
- ML component
Implementation
Implemented the healthcare platform using blockchain, machine learning, React, and React Native technologies.
- Blockchain integration
- Healthcare records
- Machine-learning component
- Mobile application