Inspiration
Post-hackathon, we plan to collaborate with NGOs and government bodies to pilot the solution and work toward dynamic integration with platforms like e-RaktKosh and Blood Bridge to bring real-world impact.
What it does
RaktSetu is an AI-powered platform that matches Thalassemia patients with suitable blood donors in real time. It predicts donor availability using past behavior and ranks donors based on proximity, compatibility, donation frequency, age, and health.
How we built it
We will use Python and machine learning frameworks for the prediction models, a web-based frontend for donor-patient interaction, and cloud services for backend support. A simulated API mimicked integration with national systems like e-RaktKosh.
Challenges may ran into
We may face challenges around accessing real-world data, ensuring ethical AI use, and designing predictive models with limited training time. Integration with official systems like e-RaktKosh is constrained by regulatory access.
What's next for RaktSetu
Post-hackathon, we plan to collaborate with NGOs and government bodies to pilot the solution and work toward dynamic integration with platforms like e-RaktKosh and Blood Bridge to bring real-world impact.
