Sanjeev AI

"Sanjeev AI – Empowering Lifesaving Decisions with Intelligent Precision."Sanjeev AI empowers early Thalassemia diagnosis and care with intelligent insights and seamless doctor-patient support.

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Inspiration

SanjeevAI was born from my desire to use AI not just for convenience, but for compassion. I was deeply moved by the struggles of Thalassemia patients, especially the emotional and physical burden of requiring regular blood transfusions, finding compatible donors, and managing long-term medical care.

The mission of Blood Warriors to eliminate Thalassemia in India by 2035 deeply resonated with me. As a second-year engineering student with limited experience, I saw this hackathon as an opportunity to apply my skills, learn something new, and build something with real-world impact.

What it does

SanjeevAI is a web-based AI-powered assistant designed to support Thalassemia patients and the organizations that help them. It features:

  • AI Chatbot (powered by OpenAI GPT) that answers common questions related to Thalassemia in multiple languages
  • Donor Match System that predicts and connects likely blood donors based on history and location
  • Admin Dashboard for Blood Warriors to view patient/donor stats and engagement
  • Awareness Generator that creates educational content and social media campaigns using AI

How I plan to build it

I used the following tools and technologies to bring SanjeevAI to life: [The actual prototype and coding will be done during the hackathon sprint]

  • React + Tailwind CSS for frontend development and UI
  • OpenAI GPT-4 API via Azure for chatbot and content generation
  • Firebase for authentication, database, and hosting
  • Google Maps API (optional) for mapping donor locations
  • GitHub for version control

I began by planning the core user flows — how a patient would use the system and how Blood Warriors could benefit from it. From there, I built each component one by one and focused on integrating the chatbot and donation features using API services.

Challenges I anticipate

  • I had no prior experience building AI applications, so learning OpenAI’s API and prompt engineering in real-time was challenging but exciting
  • Ensuring data privacy and security was a critical design consideration, especially in healthcare
  • Time management was tough — building a multi-feature solution within 24 hours required discipline and focus
  • I had to quickly troubleshoot API rate limits, integration issues, and component rendering bugs
  • Building the project solo meant I had to handle everything — coding, testing, UI, and documentation

Accomplishments that I would be proud of

  • I created my first complete AI-powered application within a day
  • Successfully integrated an intelligent chatbot to help educate and support patients
  • Built a clean, responsive, and accessible UI using React and Tailwind
  • Took the initiative to use AI for meaningful social impact
  • Stepped far outside my comfort zone and managed every aspect of the project myself

What I learned

  • How to work with OpenAI APIs and design prompts for different use cases
  • How to use Firebase for web hosting, authentication, and storing data
  • Fundamentals of frontend development using React
  • The importance of user experience design, especially for people in vulnerable situations
  • How to break a big idea into small, manageable steps and build under pressure

What's next for SanjeevAI

I believe SanjeevAI has the potential to grow into a nationwide platform. Here’s what I plan to do next:

  • Add WhatsApp support so users can access the service easily via mobile
  • Enable voice-based and multilingual interaction to help rural users
  • Build a gamified reward system for recurring blood donors
  • Integrate with e-RaktKosh and Blood Warriors’ existing systems
  • Collaborate with NGOs, hospitals, and government health departments for wider adoption

SanjeevAI is more than a project — it’s my commitment to use technology for good and ensure no Thalassemia patient feels left behind.

— Team SanjeevAI

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