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FoodVision: A revolutionary project designed to enhance your culinary experience by effortlessly scanning food items to access comprehensive information, including nutritional details, suggested recipes tailored to the detected food, and nearby culinary inspirations.

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Abhi-vish/Foodvision

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Food Vision

Food Vision is a comprehensive tool designed to help users identify food in images, obtain nutritional information, discover recipes related to the identified food, find places to purchase the food, and interact with an integrated chatbot for seamless navigation and assistance.

Functionalities

  1. Food Identification: Upload an image containing food, and the system will identify the food items present in the image.
  2. Nutritional Information: Once the food is identified, users can access detailed nutritional information such as calories, macronutrients, and micronutrients.
  3. Recipes: Discover recipes related to the identified food item, including various cuisines and cooking methods.
  4. Places to Get Food: Find nearby places to purchase the identified food item, including restaurants, grocery stores, and markets.
  5. Integrated Chatbot: Interact with the system directly through an integrated chatbot to receive assistance, ask questions, or navigate through different functionalities seamlessly.

Home Page

image

Usage

To use Food Vision, follow these steps:

  1. Clone the repository:

    git clone https://github.com/Abhi-vish/Foodvision.git
  2. Install dependencies:

    pip install -r requirements.txt
  3. Run the application:

    python app.py
  4. Navigate to the provided URL in your web browser to access Food Vision.

Contributing

Contributions are welcome! If you have any ideas for new features, improvements, or bug fixes, feel free to open an issue or submit a pull request.

About

FoodVision: A revolutionary project designed to enhance your culinary experience by effortlessly scanning food items to access comprehensive information, including nutritional details, suggested recipes tailored to the detected food, and nearby culinary inspirations.

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