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VisioFun

VisioFun is an interactive application designed to provide entertainment and assistance to visually impaired individuals. This project leverages various technologies to offer a range of features aimed at enhancing user experience and engagement.

Features

1. Describe Image

  • Upload an image and receive a descriptive text generated using a combination of machine learning and natural language processing.
  • The application uses a pre-trained MobileNet model for image recognition and the Cohere API for generating textual descriptions.
  • Additionally, the generated description can be converted into speech for auditory feedback.

2. Imagine the World

  • Enter the name of an object or place you want to visualize, and the application generates a descriptive text.
  • The user provides input, prompting the application to produce descriptive text using the Cohere API.
  • The generated text is converted into speech for auditory output.

3. Guess the Animal Sound

  • Listen to various animal sounds and guess the corresponding animals.
  • The application provides a set of animal sounds for users to identify, enhancing auditory recognition skills.

4. Riddles

  • Listen to audio riddles and type your answers.
  • Users engage in a riddle-solving activity, enhancing cognitive abilities and critical thinking.

5. Quiz

  • Participate in a quiz featuring multiple-choice questions.
  • Users answer questions across various topics, providing an interactive learning experience.

Usage

To use VisioFun:

  1. Clone the repository to your local machine.
  2. Install the required dependencies by running pip install -r requirements.txt.
  3. Run the Streamlit application by executing streamlit run main.py.
  4. Alternatively, you can access the application through the following link: VisioFun Web App.

Tech Stack and Technologies Used

  • Streamlit: Framework for building interactive web applications with Python.
  • TensorFlow: Open-source machine learning framework for image recognition tasks.
  • Cohere API: Natural language processing API for generating descriptive text based on input prompts.
  • PIL (Python Imaging Library): Library for image processing tasks.
  • gTTS (Google Text-to-Speech): Library for converting text descriptions into speech.
  • NumPy: Fundamental package for scientific computing in Python.
  • IPython.display: Module for playing audio files within the application.

License

This project is licensed under the MIT License - see the LICENSE file for details.