Inspiration ✨

In India, millions of people struggle with maintaining a balanced diet due to lack of awareness, cultural food diversity, and accessibility challenges. Our inspiration for NutriAI came from the vision of empowering individuals with personalized nutrition advice, backed by the latest in AI technology. We wanted to create an agentic AI solution that not only provides recommendations but also learns and adapts to each user’s unique lifestyle.

What We Built 🛠

NutriAI is an Agentic AI Web App designed to deliver real-time, personalized nutrition guidance.
We combined the power of React, **Next.js, **Bootstrap, and **TypeScript on the frontend with a robust Node.js + Express backend, connected to MongoDB for data storage.
To bring intelligence, we integrated the Groq API for ultra-fast inference and built the app with React Vite for speed and efficiency.

How We Built It ⚙

  • Frontend: React, **Bootstrap, **Next.js, **TypeScript, **React Vite
  • Backend: Node.js, **Express
  • Database: MongoDB
  • AI Layer: Groq API for agentic intelligence and natural language interactions

Code block example (simplified):

const response = await groq.query({
  prompt: "Suggest a healthy Indian breakfast with 350 calories",
});
console.log(response);
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