RAKTHSEVA

Here is a concise, founder-style response for an ideation-stage, solo-led RAKTHSEVA project:[1][2]

Inspiration

Witnessing friends and family struggle with blood donation access pushed me to explore a tech solution for faster, fairer help.[2]

What it does

RAKTHSEVA is a planned platform using AI to match donors and patients quickly, with support for multiple languages and secure data handling.[2]

How I built it

Right now, I've mapped core features and drafted early system blueprints, focusing on real-world pain points and speaking to users for feedback.[2]

Challenges

Balancing technical ambition with practical needs and India’s complex healthcare landscape is a major hurdle at this stage.[2]

Proud accomplishments

Refining the concept and getting positive validation from grassroots health workers and potential users feels rewarding already.[2]

What I learned

Early listening and prototyping matter—solutions must fit real life, not just theory.[2]

What's next

Finalize the MVP outline, build out first demo, and seek strong partnerships for testing and future growth.[2]

Built With

• api
• bert
• express.js
• lstm
• mangodb
• node.js
• ppo
• prophet
• pytorch
• slm
• tensorflow