{"id":29022905,"url":"https://github.com/al-jurjani/l-flask","last_synced_at":"2026-05-04T01:33:41.145Z","repository":{"id":300273604,"uuid":"1005742024","full_name":"al-Jurjani/L-Flask","owner":"al-Jurjani","description":"A simple image classifier web application built with Flask and Keras. This project was created by following an online tutorial.","archived":false,"fork":false,"pushed_at":"2025-06-20T19:06:43.000Z","size":332,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-20T19:54:37.453Z","etag":null,"topics":["flask","image-classification","keras","machine-learning","python","tensorflow","tutorial-project"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/al-Jurjani.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-06-20T18:26:21.000Z","updated_at":"2025-06-20T19:06:46.000Z","dependencies_parsed_at":"2025-06-20T19:54:39.330Z","dependency_job_id":"da2007c7-e360-49c0-ab3b-58d8e1991fdf","html_url":"https://github.com/al-Jurjani/L-Flask","commit_stats":null,"previous_names":["al-jurjani/l-flask"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/al-Jurjani/L-Flask","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FL-Flask","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FL-Flask/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FL-Flask/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FL-Flask/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/al-Jurjani","download_url":"https://codeload.github.com/al-Jurjani/L-Flask/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FL-Flask/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261990350,"owners_count":23241187,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["flask","image-classification","keras","machine-learning","python","tensorflow","tutorial-project"],"created_at":"2025-06-26T03:04:10.473Z","updated_at":"2026-05-04T01:33:41.113Z","avatar_url":"https://github.com/al-Jurjani.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# L-Flask: Machine Learning Image Classifier\n\nL-Flask is a simple web application that demonstrates how to deploy a machine learning model using the Flask web framework. Users can upload an image, and the application will return a prediction of what the image contains using a pre-trained image classification model.\n\n### About This Project\n\nThis project was created by following the video tutorial **\"Deploy Machine Learning Model with Flask\"**. The goal was to understand the fundamentals of integrating a Keras/TensorFlow model into a web backend to serve predictions to a user.\n\nYou can watch the full tutorial here: **https://youtu.be/0nr6TPKlrN0**\n\n## Features\n\n-   **Web Interface**: A clean and simple UI for uploading images.\n-   **Image Prediction**: Uses the pre-trained `VGG16` model to classify uploaded images.\n-   **Dynamic Results**: Displays the top predicted class and its confidence score on the web page.\n\n## Technologies Used\n\n-   **Backend**: Python, Flask\n-   **Machine Learning**: TensorFlow, Keras\n-   **Frontend**: HTML, Bootstrap (for styling)\n\n## Setup and Usage\n\nTo run this project locally, follow these steps:\n\n1.  **Clone the repository:**\n    ```bash\n    git clone https://github.com/al-Jurjani/L-Flask.git\n    cd L-Flask\n    ```\n\n2.  **Create and activate a virtual environment (recommended):**\n    ```bash\n    # For Windows\n    python -m venv venv\n    venv\\Scripts\\activate\n\n    # For macOS/Linux\n    python3 -m venv venv\n    source venv/bin/activate\n    ```\n\n3.  **Install the required dependencies:**\n    This project requires Flask and TensorFlow.\n    ```bash\n    pip install Flask tensorflow\n    ```\n    *(Note: Keras is included with modern TensorFlow installations.)*\n\n4.  **Run the Flask application:**\n    ```bash\n    python app.py\n    ```\n\n5.  **Open your browser:**\n    Navigate to `http://127.0.0.1:2100`. You should now be able to upload an image and get a prediction!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fal-jurjani%2Fl-flask","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fal-jurjani%2Fl-flask","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fal-jurjani%2Fl-flask/lists"}