{"id":22266301,"url":"https://github.com/acbikash13/imageclassifier","last_synced_at":"2026-01-05T21:51:10.934Z","repository":{"id":251259657,"uuid":"836873178","full_name":"acbikash13/ImageClassifier","owner":"acbikash13","description":"This app classifies images into predefined categories by training a Convolutional Neural Networks (CNNs) model. It provides real-time predictions with a user-friendly interface for uploading and classifying images. It is hosted on Azure. 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The app allows users to upload an image and instantly receive predictions of the image’s category. This project demonstrates a complete end-to-end pipeline, including data preprocessing, model training, and deployment.\r\n\r\nCheck out the live version of the app [here](https://classiffyimages-d4g0bednaaaaevc8.eastus-01.azurewebsites.net/).\r\n## Features\r\n\r\n- **Image Upload**: Users can upload images via the web interface.\r\n- **Real-Time Predictions**: The app instantly classifies the uploaded image into one of the predefined categories.\r\n- **Model**: Utilizes a CNN model trained on a large dataset of labeled images.\r\n- **Technology Stack**: Python, TensorFlow/Keras, Flask, HTML/CSS for front-end\r\n\r\n## Tech Stack\r\n\r\n- **Backend**: Flask (Python) or Django\r\n- **Frontend**: HTML, CSS, JavaScript\r\n- **Machine Learning**: TensorFlow, Keras, OpenCV (for image preprocessing)\r\n- **Data**: Image datasets (e.g., CIFAR-10)\r\n- **Deployment**: Azure\r\n\r\n## Installation\r\n\r\n### Prerequisites\r\n\r\n- Python 3.8 or higher\r\n- TensorFlow/Keras\r\n- Flask \r\n- OpenCV (optional for image preprocessing)\r\n- Docker (for containerization)\r\n- Git\r\n\r\n### Clone the Repository\r\n\r\n```bash\r\ngit clone https://github.com/acbikash13/ImageClassifier.git\r\ncd image-classification-app\r\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facbikash13%2Fimageclassifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Facbikash13%2Fimageclassifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facbikash13%2Fimageclassifier/lists"}