Inspiration

The inspiration behind Apollo-Vault stems from the need to address privacy concerns in health records. Universal transparency among healthcare providers, this project aims to empower individuals with control over their health data.

What it does

Apollo-Vault is a health record ledger built using Solidity, Python, TypeScript, JavaScript, HTML, CSS, React.js, Polygon, blockchain, computer vision, and Firebase. It provides users with privacy over their health records and facilitates transparent sharing of information between healthcare providers.

How we built it

Apollo-Vault was meticulously crafted through collaborative efforts, utilizing a diverse tech stack. Full-stack development skills were applied, and the application was deployed on Polygon. Innovative features, such as facial recognition using computer vision, were implemented. The camera performs a face scan, creates a hash, and validates it on the Polygon blockchain. Recognized users have their information displayed on the UI, while unrecognized users are prompted to enter information for future reference. This integration of cutting-edge technologies ensures a secure and user-friendly experience.

Challenges we ran into

While developing Apollo-Vault, challenges included integrating various technologies seamlessly, especially when working with blockchain and computer vision. The team successfully navigated these hurdles through adaptability and effective teamwork.

Accomplishments that we're proud of

We were able to succesfully integrate different unique technologies, working as a team, and demonstrating resilience under pressure. Apollo-Vault provides proficiency in full-stack development, deployment, and innovation.

What we learned

The project provided a learning experience in full-stack development, deployment strategies, and exposure to cutting-edge technologies. The team gained insights into Solidity, blockchain, computer vision, and software development.

What's next for Apollo-Vault

Down the line, Apollo-Vault aims to expand health record integration and enhance the user interface for a more friendly experience. The team is committed to creating a universal health data ecosystem, refining the UI for improved usability, and continually innovating in response to user needs.

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