🌱 Inspiration

Food waste happens every day — not because people don’t care, but because they don’t know what to use first.

We’ve all been there:

  • Buying groceries with good intentions
  • Forgetting what’s in the fridge
  • Throwing away food that silently spoiled

At the same time, grocery costs are rising.

We built Savora to solve both problems — helping people make smarter food decisions using AI.


💡 The Problem

  • People forget what they already have
  • No simple way to know what to cook with available ingredients
  • Food spoils without notice → waste
  • Existing apps are either too complex or not personalized

👉 There is no intelligent system that helps users act at the right time


🛠️ What We Built

Savora is a smart food usage assistant that turns your groceries into actionable decisions by flagging items nearing spoilage, using USDA and food safety shelf-life guidance, and suggesting what to cook.


🧊 Understand Your Food

  • Add items with purchase date and storage type
  • Estimate freshness and spoilage risk

⚠️ What to Use First

  • Identifies urgent items before they spoil
  • Prioritizes based on time + storage

🍳 AI Recipe Generator

  • Generates recipes using available ingredients
  • Adapts to user lifestyle (vegetarian, gym diet, etc.)
  • Suggests missing ingredients

🧠 Context-Aware Intelligence

  • Understands user preferences
  • Provides personalized meal suggestions

💰 Reduce Waste, Save Money

  • Encourages smarter consumption habits
  • Makes the impact of food waste visible

🤖 AI-Powered by LLM

Savora uses Large Language Models to:

  • Generate practical recipes from available ingredients
  • Provide context-aware suggestions
  • Adapt outputs based on user lifestyle
  • Deliver human-like reasoning for decisions

👉 Unlike generic recipe apps, Savora focuses on
what you already have, not what you should buy


🧱 How We Built It

  • Frontend: Streamlit (interactive UI)
  • Backend: Python
  • AI Integration: Gemini API (LLM for recipe generation and suggestions)
  • Data Logic: Shelf-life estimation rules
  • UI Design: Glassmorphism-based responsive layout

⚠️ Challenges

  • Designing a system that is both simple and intelligent
  • Ensuring LLM outputs are useful, not generic
  • Balancing accuracy vs usability in spoilage estimation
  • Handling API rate limits during development

📚 What We Learned

  • Simplicity drives user adoption
  • UX is critical for behavior change
  • AI is powerful only when tied to real context
  • Small everyday problems can have large impact
  • Iterating fast is key in hackathons

🚀 Future Scope

Savora can evolve into a full smart kitchen ecosystem:

  • 📸 Receipt scanning (LLM) → auto-add groceries
  • 🧊 Fridge inventory tracking
  • 🔔 Expiry alerts & smart reminders
  • 🛒 Smart grocery suggestions
  • 👨‍👩‍👧‍👦 Shared household food tracking
  • 📊 Long-term waste & savings analytics

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