Our Journey with Project Sanjeevani
What Inspired Us
It all started not with code, but with a feeling: the cold knot of anxiety a parent must feel at 2 AM, wondering if they'll find blood for their child.
That single image from the problem statement became our obsession. We were deeply moved by the mission of Blood Warriors and felt a powerful urge to do more than just sympathize. We wanted to use our skills in AI and technology to become a force multiplier for their incredible work.
The real inspiration struck when we asked ourselves: "How can we turn a process defined by panic into one defined by peace?"
That’s when we knew our mission: to build a modern-day Sanjeevani—a lifeline of hope, powered by AI.
What We Learned
We came in thinking we knew the problem, but the real stories and data taught us so much more.
Learning #1: The Real Problem Isn't a Lack of Donors. We discovered the true bottleneck is the chaotic information gap between willing donors and patients in need. The current system is like trying to find a specific book in a massive library with no catalog.
Learning #2: The Battle Doesn't End After Finding Blood. We learned that the struggle with isolation and the constant need for information is just as significant. This realization was the birthplace of Saathi AI.
Ultimately, we learned we weren't just solving a logistics problem; we were fighting the feeling of being alone.
How We Plan to Build It
Our design philosophy is simple: technology should serve people, not the other way around.
Our entire plan was built around the human experience:
We Started with Stories: Before writing a single line of code, we mapped out the emotional journey of "Priya" (the mother) from a state of panic to relief, and "Rohan" (the donor) from being a stranger to feeling like a hero.
Purpose-Driven Tech: These stories dictated our technology. We chose tools that were reliable, accessible, and best suited for the job—not just the most complex or trendy.
Calm by Design: In a moment of crisis, an app should be a comfort, not another challenge. Our interface will be clean, intuitive, and reassuring.
Our goal is to make sure that when a user opens our app, it feels like an exhale, not another source of stress.
The Challenges That Shaped Us
Challenges aren't roadblocks; they're signposts that guide you to a better solution. Here are the ones that shaped our project.
Thinking Bigger: Our first idea was just a "smarter donor-finder." The challenge was to push ourselves to see the full picture, which led us to create the holistic, two-part solution we have today.
Avoiding the "AI" Trap: It was tempting to design a complex, futuristic AI. We challenged ourselves to instead focus on using AI to solve the simplest, most painful problems first.
Dream vs. Demo: Our biggest challenge was balancing our huge vision with a realistic MVP for the hackathon. It forced us to be ruthless in prioritizing what truly matters for a powerful proof-of-concept.
These challenges made our idea stronger, more empathetic, and more focused on what truly matters: the people we aim to serve.
Built With
- fastapi
- figma
- flutter
- github
- googledialogflow
- googlemapapi
- javascript
- microsoftazure
- postgresql
- python
- reactnative
- sckitlearn
- tensorflow
- twilioapi