🌱 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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