🍽️ Foodgram

Foodgram is a modern, dynamic, and fully-featured social platform designed specifically for food lovers, home cooks, and professional chefs. Discover new recipes, share your culinary creations, and connect with a vibrant community of food enthusiasts. Powered by AI, Foodgram also offers personalized recipe recommendations and image-based search capabilities.

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✨ Features

🧑‍🍳 Social Culinary Experience

• User Profiles: Customize your bio and profile picture to build your culinary brand.
• Follow System: Follow your favorite chefs and friends to curate your personalized feed.
• Notifications: Get real-time updates when someone follows you, likes your dish, or interacts with your profile.

🍳 Recipe Management

• Upload Dishes: Share your recipes complete with high-quality images, prep time, cook time, categories, and cuisines.
• Step-by-Step Instructions & Ingredients: Break down your recipes into easy-to-follow steps and ingredient lists.
• Save for Later: Bookmark your favorite dishes to your personal cookbook for easy access later.
• Ratings & Likes: Engage with the community by liking and rating the dishes you try.

🤖 AI-Powered Discoverability

• Smart Recommendations: Utilizing advanced Machine Learning (FAISS), Foodgram recommends dishes tailored to your tastes.
• Image Recognition: Integrated computer vision models (ImageNet) can analyze and categorize food images to enhance searchability and recommendations.

🛡️ Moderation & Administration

• Reporting System: Users can report inappropriate content to keep the community safe and focused on food.
• Admin Dashboard: Comprehensive moderation tools to manage users, dishes, and reports.

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🚀 Tech Stack

• Backend Framework: Django (Python)
• Database: SQLite (Development)
• Machine Learning: FAISS (Facebook AI Similarity Search), OpenCV / PIL for Image Processing
• Frontend: HTML5, CSS3 (Modern, responsive UI), Vanilla JavaScript
• Architecture: MVT (Model-View-Template)

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🛠️ Setup Instructions

To get Foodgram running on your local machine, follow these steps:

1. Clone the Repository

git clone https://github.com/aviinnassh/foodgram.git
cd foodgram

2. Create a Virtual Environment

It is recommended to use a virtual environment to manage dependencies.

python -m venv venv

3. Activate the Virtual Environment

• Windows:

  venv\Scripts\activate

• Mac/Linux:

  source venv/bin/activate

4. Install Dependencies

pip install -r requirements.txt

5. Setup the Database

Run migrations to create the database schema.

python manage.py migrate

6. Run the Development Server

python manage.py runserver

Open your web browser and navigate to http://127.0.0.1:8000/ to start exploring Foodgram!

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Developed by aviinnassh