About the Project: ThalaConnect
Inspiration:
We saw the urgent blood shortage faced by Thalassemia patients and wanted to make blood donation easy and reliable.
What We Learned:
Motivation and convenience are key drivers for blood donation; tech solutions must focus on making giving simple, trusted, and rewarding.
How We Built It:
ThalaConnect uses AI for real-time donor-patient matching, sends WhatsApp/app alerts, and maps micro-donation points—while ensuring user privacy and easy integration with existing systems.
Challenges:
Our main hurdles were achieving high AI accuracy, connecting with old hospital IT systems, protecting user data, and reaching people with limited digital access.
Built With
- auth0
- auth0-ai/ml:-openai-gpt-4-(conversational-ai)
- aws-(ec2)
- aws-auto-scaling
- aws-auto-scaling-databases:-postgresql
- aws-lambda
- aws-rds
- end-to-end-encryption
- express.js
- fhir-compliant-healthcare-apis
- google-maps
- javascript
- kong-api-gateway
- lambda
- multi-factor-authentication
- multi-factor-authentication-other-integrations:-fhir-compliant-healthcare-apis
- neo4j
- next.js
- next.js-cloud-services:-aws-(ec2
- node.js
- openai-gpt-4-(conversational-ai)
- postgresql
- python
- python-frameworks:-node.js
- rds)
- react-native
- redis
- redis-apis-&-tools:-whatsapp-business-api
- scikit-learn-(donor-behavior-analytics)
- scikit-learn-(donor-behavior-analytics)-security:-end-to-end-encryption
- socket.io
- tensorflow-(predictive-modeling)
- twilio
- whatsapp-business-api
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