{"id":25077745,"url":"https://github.com/guillermo-villar/ai-project","last_synced_at":"2026-05-02T19:35:19.949Z","repository":{"id":270101859,"uuid":"909340347","full_name":"Guillermo-villar/AI-project","owner":"Guillermo-villar","description":"Personal AI development project - Digit detection with Python \u0026 Tensorflow","archived":false,"fork":false,"pushed_at":"2025-01-28T19:35:31.000Z","size":1104,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-07T02:38:39.442Z","etag":null,"topics":["ai","ml","python","tensorflow"],"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/Guillermo-villar.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}},"created_at":"2024-12-28T12:11:23.000Z","updated_at":"2025-01-28T19:35:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"e9511cae-929e-47b4-82e4-d5f06101b088","html_url":"https://github.com/Guillermo-villar/AI-project","commit_stats":null,"previous_names":["guillermo-villar/proyectoia","guillermo-villar/ai-project"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Guillermo-villar%2FAI-project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Guillermo-villar%2FAI-project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Guillermo-villar%2FAI-project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Guillermo-villar%2FAI-project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Guillermo-villar","download_url":"https://codeload.github.com/Guillermo-villar/AI-project/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246563380,"owners_count":20797446,"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":["ai","ml","python","tensorflow"],"created_at":"2025-02-07T02:36:07.459Z","updated_at":"2026-05-02T19:35:19.910Z","avatar_url":"https://github.com/Guillermo-villar.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003c\u003c\u003c\u003c\u003c\u003c\u003c HEAD\n# Guillermo-villar\n=======\n# Personal AI development proyect - Digit detection in Python\n\nThis proyect uses Tensorflow to create a Machine Learning pipeline able to detect hand written digits, learning from a MINST digit dataset. The graphical interface uses Tkinter.\n\n## Description\n\nThis repository contains a digit classification model based on the MNIST dataset. The model is trained to recognize handwritten digits from 0 to 9. The application includes a graphical interface built with Python that allows the user to draw a digit and predict its value using the trained model.\n\n## Characteristics\n\n- Digit classification model trained with TensorFlow.\n- Python graphical interface using Tkinter to draw handwritten digits.\n- Real-time predictions using the trained model.\n- Visualization of results, displaying the predicted digit and its probability.\n\n## Instalation\n\nTo test and try this code on your own machine, follow along the instructions:\n\n1. Clone the repository:\n\n    ```bash\n    git clone https://github.com/your-username/digit-prediction-ia.git\n    cd digit-prediction-ia\n    ```\n\n2. Create and activate a virtual environment:\n\n    ```bash\n    python -m venv venv\n    source venv/bin/activate  # On Linux/Mac\n    venv\\Scripts\\activate     # On Windows\n    ```\n\n3. Install the required dependencies:\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n## Usage\n\n1. Train the prediction model by running the following command:\n\n    ```bash\n    python train.py\n    ```\n\n2. Launch the graphical interface to draw and predict a digit:\n\n    ```bash\n    python app.py\n    ```\n\n3. The app will allow you to draw a hand written digit and test the model with your own hands!\n\n## Proyect structure\n\n    **ML_pipeline.py** : This file will hold all Machine Learning logic, as well as the code for the training of the model and the function used to predict \n    **App.py** : This file will hold the graphical interface and house the actual running of my app. \n\u003e\u003e\u003e\u003e\u003e\u003e\u003e 2b0bd2d4c9f740b6673df768fe395d80f279b0ce\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguillermo-villar%2Fai-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fguillermo-villar%2Fai-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguillermo-villar%2Fai-project/lists"}