🍳 Smart Recipe Generator

This project is a FastAPI-based Smart Recipe Generator that predicts ingredients from an image and generates corresponding recipes using AI models.

Project Link : https://lovable-ai-kitchen-86.vercel.app/

Documentation Link : https://drive.google.com/file/d/1yrFwGbryCQxLNUiKycNl9DKE_n4vTpfg/view?usp=sharing

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🚀 Features

• Upload food images and extract ingredients using AI.
• Generate recipes automatically using a generative AI model.
• RESTful API built with FastAPI.
• Interactive API documentation with Swagger UI.
• Modular code structure (API, Services, Models, etc).

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🛠️ Tech Stack

• Backend: Python, FastAPI, Uvicorn
• AI Models: CLIP / ResNet for image feature extraction, Llama / GPT for text generation
• Environment: Virtual Environment (venv)
• Package Manager: pip

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⚙️ Setup Instructions

Follow the steps below to set up and run the project:

1️⃣ Clone the Repository

git clone https://github.com/yourusername/SmartRecipeGenerator.git
cd SmartRecipeGenerator

2️⃣ Create and Activate Virtual Environment

Create virtual environment

python -m venv venv

Activate it (Windows)

venv\Scripts\activate

(Mac/Linux)

source venv/bin/activate

3️⃣ Install All Dependencies

pip install -r requirements.txt

If you encounter ModuleNotFoundError, manually install the missing package:

pip install fastapi uvicorn fireworks-ai pillow torch torchvision transformers

4️⃣ Run the FastAPI Application

uvicorn main:app --reload

🌐 Access the App locally at

👉 http://127.0.0.1:8000

🧠 Troubleshooting

If you face errors like missing modules:

pip install -r requirements.txt

To deactivate the virtual environment:

deactivate

If you face issues related to fireworks.client:

pip install fireworks-ai

Example Commands (Quick Run)

cd recipeGen-main
venv\Scripts\activate
uvicorn main:app --reload

📦 Directory Structure

📁 Click to expand the copyable version

recipeGen-main/ │ ├── api/ │ ├── init.py │ ├── api.py │ └── endpoints/ │ ├── image.py │ ├── generative.py │ ├── recipes_kaggle.py │ └── image_generation.py │ ├── crud/ │ ├── init.py │ └── crud_recipe.py │ ├── db/ │ ├── init.py │ └── mongodb.py │ ├── models/ │ └── init.py │ ├── services/ │ ├── init.py │ └── imgGen.py │ ├── main.py ├── requirements.txt └── README.md

🧩 Future Scope

Add multilingual recipe generation Enable nutritional value prediction Enhance image-to-ingredient accuracy Add voice-based recipe instructions

🏁 Conclusion

This project demonstrates how AI can assist in food recognition and recipe generation through an efficient and explainable pipeline using FastAPI and deep learning models.