🚀 AI-Powered Smart Kitchen & Waste Minimizer

Are you looking to optimize inventory, reduce waste, and enhance efficiency in your kitchen? AI-Powered Smart Kitchen & Waste Minimizer is your ultimate solution! Leveraging advanced Computer Vision, AI, and Predictive Analytics, this system helps restaurants and food businesses streamline operations, reduce food waste, and maximize profit.

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🔥 Key Features

• 📺 Computer Vision for Smart Inventory Management

  • Visual Inventory Tracking: Uses YOLOv8 for object detection and Custom CNN Model for classifying fresh/spoiled ingredients and done stock prediction.
  • Food Spoilage Detection: Combines YOLO and Custom CNN Model for detecting spoiled food items.

• 🤖 AI-Powered Demand & Waste Prediction

  • Sales Forecasting:
    • Long-Term Trends: Prophet model forecasts sales using seasonality.
    • Short-Term Adjustments: XGBoost model predicts based on past sales & pricing factors.
    • Final Prediction: Weighted combination (70% Prophet, 30% XGBoost).
  • Historical Comparison:
    • Extracts past sales data for the same date (2010-2024) and compares predicted vs. historical ingredient consumption.
  • Waste Prediction:
    • Calculates daily waste levels based on sales and stock data.
    • Predicting High-Waste Dishes: Linear Regression identifies dishes contributing most to waste.
    • Ingredient-Specific Waste Analysis: Ranks ingredients by predicted waste for optimized procurement planning.
  • Dynamic Inventory Replenishment:
    • Analyzes waste trends to rank high-risk dishes & ingredients.
    • Predicts ingredient consumption based on sales and recipes.
    • Applies buffer stock (5-15%) for volatile ingredients.
    • Uses Google Gemini AI for dynamic stock optimization.

• 🍜 Intelligent Menu Optimization

  • AI-Driven Recipe Recommendations: Utilizes historical consumption, waste predictions, and restaurant-specific data.
  • Cost Optimization: Suggests nearly spoiled ingredients usage via Gemini AI.
  • Custom Dish Creation: Generates new dish ideas using Gemini API, considering previous day's waste prediction and sales data to create sustainable and optimized menu items.

• 📊 Vision-Powered Waste Analysis & Reporting

  • Food Waste Classification: Uses YOLO for waste identification.
  • Waste Heatmap (Future Work)
  • Loss-to-Profit Dashboard:
    • Computes wastage (stock - sales units).
    • Calculates profit (total revenue - total cost).
    • Visualizes financial impact through charts & dashboards.
    • Enables data-driven decision-making to reduce waste & maximize profit.

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🛠️ Tech Stack

• Backend: Flask (Python)
• Frontend: React (JavaScript), Tailwind CSS
• AI/ML: Gemini API, YOLOv8, EfficientNetV2, Prophet, XGBoost, Linear Regression
• Database: Mongodb
• Runtime: Node.js (for frontend development and additional tasks)

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⚡ Quick Start

1️⃣ Clone the Repository

git clone https://github.com/MeetAghara512/KitchenSense-AI  # Replace with your repo URL
cd KitchenSense-AI

2️⃣ Backend Setup (Flask)

# Create a virtual environment (recommended)
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install backend dependencies
pip install -r requirements.txt

# Run the Flask app
python app.py

3️⃣ Frontend Setup (React)

cd frontend  # Navigate to the frontend directory
npm install  # Install frontend dependencies
npm run dev   # Start the React development server

4️⃣ Configuration

You'll need to configure API keys for Gemini AI. Refer to the project's configuration files (e.g., .env) for how to set these up. Do not commit API keys directly to your repository.

5️⃣ Start Optimizing!

Once the backend and frontend are running, you can access the application through your web browser.

• Upload inventory images/videos for real-time tracking.
• View AI-driven sales forecasts & waste predictions.
• Optimize ingredient usage & menu offerings.

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🚀 Future Enhancements

• 📊 Advanced Analytics: More detailed waste tracking & profitability insights.
• ⚙️ Customizable Inventory Settings: User-defined ingredient thresholds & alert systems.
• 🌐 Multilingual Support: Expand accessibility for global users.
• 💾 Data Exporting: Allow users to save reports in CSV, Excel, or PDF formats.
• ✅ User Feedback Integration: Collect user input to refine AI-driven recommendations.

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🌟 AI-Powered Smart Kitchen & Waste Minimizer: Reducing waste, maximizing profit, and making kitchens smarter! 🚀