# RecipeLens — AI Visual Recipe Finder ## Overview RecipeLens is an AI-powered visual cooking assistant built with Django and React. Simply take a picture of your food or upload an image, and RecipeLens uses a Deep Learning vision model (DenseNet201) to instantly identify the dish. It returns beautiful, interactive recipe cards featuring: - **Smart Ingredient Detection & Checklists** - **Step-by-Step Directions** - **Dynamic Nutritional Dashboards** (Calories, Protein, Carbs, Fat) - **Deep Links to Delivery Apps** (Swiggy, Zomato, Blinkit) ## Features - **High-Performance AI Vision:** Identify a wide range of Indian dishes from photos. - **Modern Premium UI:** A dynamic, glassmorphism-based React frontend with Vanta.js interactive backgrounds. - **Live Portion Control:** Adjust your serving size, and the nutritional data recalculates and animates in real time. - **One-Click Ordering:** Send your missing ingredients straight to Blinkit, or order the meal on Swiggy directly from the recipe card. ## Setup Instructions ### 1. Create a Virtual Environment 1. Open a terminal (Command Prompt or PowerShell). 2. Navigate to the `Source Code` directory: ```sh cd "Source Code" ``` 3. Create a virtual environment named `venv`: ```sh python -m venv venv ``` ### 2. Activate the Virtual Environment To activate the virtual environment: - **On Windows:** ```sh venv\Scripts\activate ``` - **On macOS/Linux:** ```sh source venv/bin/activate ``` ### 3. Install Dependencies Ensure your virtual environment is activated, then run: ```sh pip install -r requirments.txt ``` ### 4. ⚠️ CRITICAL: Set Environment Variables (Windows) If you are running this on Windows, you **MUST** set the terminal encoding to UTF-8 before running the server, or the TensorFlow model will crash when downloading weights. Run these two commands in your active terminal: ```cmd set PYTHONUTF8=1 set PYTHONIOENCODING=utf-8 ``` *(If using PowerShell instead of CMD, use: `$env:PYTHONUTF8=1` and `$env:PYTHONIOENCODING="utf-8"`)* ### 5. Run the Django Server Navigate to the `src` folder (inside `RecipeLens`): ```sh cd RecipeLens/src ``` Start the server: ```sh python manage.py runserver ``` ### 6. Access the Application Open a web browser and go to: [http://127.0.0.1:8000/](http://127.0.0.1:8000/) *Note: The very first time you upload an image, the AI model (DenseNet201) may take 1-2 minutes to initialize in the background.* --- ## Final Year Project Contributors Built with ❤️ by: - **Diwakar** - **Naveen** - **Pradeep** - **Madhan** *Powered by TensorFlow + DenseNet201 + Django + React* # RECEIPEONE