Blood Connect

Inspiration

Inspiration for BloodConnect originated from the pressing need for efficient blood donation systems, particularly for Thalassemia patients who often face challenges in finding compatible donors quickly. The goal is to leverage technology to create meaningful connections between donors and patients.

What it does

BloodConnect facilitates real-time matching between patients in need of blood and available donors. It also offers:

AI-driven predictions for donor availability. A comprehensive dashboard for analytics and tracking. Emergency alert systems for urgent blood requests. Integration with national blood bank networks for broader reach.

How we built it

The application is built using a full-stack architecture that includes:

Frontend: Developed with React and TypeScript, utilizing Tailwind CSS for styling. State management is handled with TanStack Query. Backend: An Express.js server providing RESTful API endpoints, with PostgreSQL as the database. Real-time Updates: Implemented using WebSockets for immediate notifications of matches and updates.

Challenges we ran into

• Ensuring real-time data updates without performance loss, which required fine-tuning the WebSocket implementation.
• Integration with external blood bank APIs like e-RaktKosh and Blood Bridge was initially challenging due to varying data formats and connection protocols.
• Developing robust error handling for network requests to maintain smooth user experience.

Accomplishments that we're proud of

• Successfully implemented real-time matching capabilities, resulting in faster connections between patients and donors.
• Achieved a user-friendly interface that allows for seamless navigation and operation within the platform.
• Demonstrated effective AI predictions that improved donor availability assessments, leading to better matching outcomes.

What we learned

• The importance of user feedback during the testing phases helped identify critical adjustments and feature enhancements.
• Integration of multiple systems requires thorough planning and understanding of each entity’s API and data structure.
• Real-time systems are complex but significantly enhance user engagement and satisfaction.

What's next for Blood Connect

• Focus on refining external integrations to ensure reliability and expand the network of compatible donors and patients.
• Initiate a mobile application development phase to improve accessibility for users on-the-go.
• Explore advanced machine learning models for predictive analytics to enhance donor availability forecasting.
• Plan for a broader outreach program, partnering with hospitals and healthcare groups to increase awareness and usage of the platform.

Built With

• api
• express.js
• fastapi
• javascript
• node.js
• postgresql
• python
• react
• tailwind
• typescript
• websockets