Smart Rasoi

AI-Powered Smart Kitchen & Waste Minimizer for Restaurants

Smart Rasoi is an AI-driven solution designed to optimize restaurant kitchens by automating inventory management, reducing food waste, and enhancing menu planning.

Features

• AI Inventory Tracking – Uses Gemini API 1.5 Flash to detect and log ingredients from images.
• Spoilage Detection – Identifies soon-to-expire ingredients to prevent waste.
• Recipe Customization – Generates recipe suggestions based on available ingredients and dietary preferences.
• Dynamic Menu Optimization – Creates cost-effective menus by utilizing surplus stock.
• Waste & Cost Reduction – Prevents over-purchasing and improves resource utilization.

Tech Stack

• AI & ML: Gemini API 1.5 Flash for ingredient recognition
• Backend: Python, FastAPI
• Frontend: React.js
• Database: PostgreSQL
• Cloud & Storage: AWS S3, Firebase

Installation

1. Clone the repository:

   git clone https://github.com/dhruv-programmes/Smart-Rasoi.git
   

2. Navigate to the project directory:

   cd smart-rasoi
   

3. Install dependencies:

   pnpm i
   

4. Start the development server:

   pnpm run dev
   

Use Case

Smart Rasoi offers practical solutions for restaurant kitchens by addressing key operational challenges:

• Automated Inventory Management – Reduces manual effort by logging ingredients from images, ensuring accurate stock tracking.
• Minimizing Food Waste – Alerts restaurants about soon-to-expire ingredients, promoting timely utilization.
• Optimized Menu Planning – Suggests recipes based on existing stock, helping restaurants make the most of available ingredients.
• Cost Reduction – Prevents unnecessary purchases by utilizing surplus stock efficiently.
• Enhanced Sustainability – Supports eco-friendly kitchen operations by reducing food wastage.
• Customization for Dietary Needs – Provides personalized recipe adaptations for different dietary preferences like vegan, gluten-free, or Jain food.
• Data-Driven Decision Making – AI-driven insights help restaurant managers improve kitchen efficiency and profitability.

Credits

• Dhruv → GitHub Profile
• Purav → GitHub Profile
• Bhavya → GitHub Profile