🌾 Smart Food AI

Predictive Food Survival Intelligence for Bharat

AI for Bharat Hackathon | Prototype Phase

Smart Food AI is a cloud-native platform designed to empower farmers and street vendors. By leveraging the ANNAPURNA AI Engine, we provide actionable insights to prevent spoilage and stabilize income in the Indian agricultural supply chain.

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🧠 The Intelligence Core: ANNAPURNA AI Engine

ANNAPURNA AI is our central decision intelligence system. It transforms fragmented agricultural data into a unified predictive framework to ensure food security.

🧪 Spoilage Intelligence Module (SIM)

• Function: Predicts crop deterioration using biological decay curves and weather models.
• UI Integration: Powers the shelf-life indicators and storage advice in the AI Advisor.

📊 Demand Intelligence Module (DIM)

• Function: Analyzes seasonal spikes and Mandi transaction patterns to predict hyperlocal consumption.
• UI Integration: Curates the Marketplace feed to match vendor stock with buyer needs.

📈 Economic Optimization Module (EOM)

• Function: Maximizes profitability by identifying price surge windows and market priority.
• UI Integration: Drives the Impact Dashboard metrics to show farmers their saved revenue.

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📱 Interface Preview

Our high-fidelity prototype focuses on clarity for vendors and real-time freshness tracking.

📱 Interface Preview

Our high-fidelity prototype is structured to provide immediate value to farmers, transitioning from market awareness to AI-driven action.

Phase 1: Market & Inventory 🌾

Focuses on real-time awareness and connecting farmers to the hyperlocal "Mandi" system.

Home Dashboard	Smart Explore	The Challenge
Market Rates & Trends	Grain Price Tracking	Identifying Pain Points

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Phase 2: AI Interaction & Impact

Feature	Mobile Interface	Purpose
Home Screen		Entry point for advice and market exploration.
Challenges		Identifying storage & market access pain points.
AI Advisor		ANNAPURNA AI chat for crop safety.
Impact		Tracking waste prevented (1,450 kg).
Marketplace		Direct buyer-seller listings with regional pricing.
Marketplace		Direct buyer-seller listings with regional pricing.
Dashboard		Tracking waste prevented (1,450 kg).

🎥 Watch the Interactive UI Demo Video---

🏗 Architecture & Tech Stack

Layer	Technology
Frontend	React Native / Expo (Cross-platform)
AI Engine	Amazon Bedrock (ANNAPURNA AI)
Backend	Node.js
Storage	GitHub Managed Assets

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⭐ Unique Value Proposition (USP)

• Hyperlocal Context: Tailored specifically for the Indian "Mandi" system and local vendor needs.
• Waste Prevention: Real-time tracking of post-harvest loss reduction (currently 8.5% reduction).
• Accessibility First: Minimalist, high-contrast UI designed for outdoor use by farmers and vendors.

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👥 Team STRYX

Name	Role
Pratheeksha Shalbin	UI Lead & Repository Management
Khushi Jain	Backend & AI Model Development
Deekshanya Shri L	UX Design & Frontend Logic
Shanney Maria George	Data Research & Analysis

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📂 Project Structure (Team STRYX Contributions)

smart-food-ai
├── app.json                # App configuration & identity
├── App.js                  # Main logic for ANNAPURNA AI display
├── App.css                 # Green-Tech UI styling system
├── components
│   └── ui
│       ├── icon-symbol.tsx # Custom ANNAPURNA icon mapping
│       └── AiCard.tsx      # Reusable AI insight component
├── assets
│   └── images              # Finalized UX Screens & Demo Video
│       ├── home.jpg
│       ├── challenges.jpg
│       ├── chat.jpg
│       ├── dashboard.jpg
│       ├── marketplace_1.jpg
│       └── marketplace_2.jpg
└── README.md               # Project documentation