Inspiration
Thalassemia remains one of India's most under-addressed genetic disorders, despite being preventable and manageable with timely care and regular blood transfusions. What inspired us most was the work of Blood Warriors, who are not only advocating for awareness but also working tirelessly to build infrastructure for care. We wanted to contribute to their mission using AI, a tool we believe can close the gap between need and access—particularly in rural or underserved areas.
What it does
Predicts donor availability using past donation data and behavioral patterns. Matches patients with compatible donors in real-time based on proximity, urgency, and blood type. Integrates with existing systems like e-RaktKosh and Blood Bridge. Facilitates secure communication between patients and healthcare providers. Raises awareness and encourages recurring donations through a gamified impact dashboard.
How we built it
Predictive Modeling: Implemented a time-series based donor availability model using scikit-learn. Matching Algorithm: Built logic to prioritize donor-patient connections using location, blood type, and urgency. Design & Mockups: Created a Figma prototype to visualize user flows for patients, donors, and hospitals. Security Framework: Designed a data handling structure ensuring encryption and compliance with privacy standards. Integration Layer: Mapped potential APIs to connect with public systems like e-RaktKosh and NGO initiatives.
Challenges we ran into
Data Access: Working with hypothetical or incomplete data made building realistic models more difficult. Privacy & Ethics: Designing secure systems for sensitive health data required careful planning and compliance considerations. System Integration: Mapping SangamAI’s features to existing public health infrastructure required research and thoughtful API design. Scalability: Ensuring the model remains effective at national scale with diverse user bases posed algorithmic challenges.
Accomplishments that we're proud of
Developed a solution rooted in empathy, designed to make a real-world impact. Created a predictive model that enhances donor reliability. Built an intuitive interface to promote recurring blood donations and patient support. Ensured the solution aligns with existing national health systems.
What we learned
A deeper understanding of Thalassemia and the urgent needs of patients. Practical experience in applying AI to health tech, including modeling, privacy, and ethical design. How to ideate under constraints and design user-first systems that are scalable and sustainable. The power of community-driven healthcare solutions when supported by technology.
What's next for SangamAI
Pilot Testing: Partner with NGOs like Blood Warriors to test our prototype in a real-world setting. Data Partnership: Seek anonymized datasets to train and validate models more effectively. Mobile App Development: Build out Android/iOS versions for greater accessibility. AI Optimization: Improve donor prediction accuracy using neural networks or reinforcement learning. Policy Advocacy: Work with stakeholders to integrate SangamAI into public healthcare infrastructure.
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