AnimeVision

Welcome to AnimeVision, a deep learning-powered tool that recognizes anime characters from images and provides detailed information about the anime using the Jikan REST API.

Features

• Image Recognition: Finetuned ResNet50 model to detect anime names from uploaded images.
• Anime Information: Fetches details like title, synopsis, trailer, and genres based on the detected anime.
• User-Friendly Interface: Created using Streamlit for a seamless user experience.
• Model Tuning: Implemented in PyTorch for fine-tuning the ResNet50 model.

How It Works

1. Upload an Image: Upload an image of an anime character.
2. Model Detection: Our finetuned ResNet50 model identifies the anime.
3. Information Retrieval: Fetches information related to the anime using the Jikan REST API.
4. Display Information: Presents the anime title, synopsis, trailer, and genres.

Getting Started

Prerequisites

• Python 3.7+
• PyTorch
• Streamlit
• Requests (for API calls)

Demo video

Installation

1. Clone the repository:

   git clone https://github.com/Abhi-vish/Animevision.git
   cd Animevision

2. Install the required packages:

   pip install -r requirements.txt

Running the App

To run the Streamlit app, use the following command:

streamlit run app.py