{"id":27162888,"url":"https://github.com/piyush-kumar-ghosh/digit-predictor","last_synced_at":"2026-04-24T12:32:33.970Z","repository":{"id":286122076,"uuid":"960438580","full_name":"Piyush-Kumar-Ghosh/digit-predictor","owner":"Piyush-Kumar-Ghosh","description":"Streamlit web app that uses a CNN model to predict handwritten digits using the MNIST dataset.","archived":false,"fork":false,"pushed_at":"2025-04-04T13:06:15.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-04T13:40:49.230Z","etag":null,"topics":["cnn","computer-vision","deep-learning","image-classification","machine-learning","mnist","portfolio-project","streamlit-webapp","tensorflow"],"latest_commit_sha":null,"homepage":"https://digit-predictor-hqfeqrpxxs5vvkgefv7ltp.streamlit.app/","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/Piyush-Kumar-Ghosh.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":"2025-04-04T12:41:44.000Z","updated_at":"2025-04-04T13:06:19.000Z","dependencies_parsed_at":"2025-04-04T13:40:50.317Z","dependency_job_id":"945175cf-10bc-4e91-bea2-6278e2ace655","html_url":"https://github.com/Piyush-Kumar-Ghosh/digit-predictor","commit_stats":null,"previous_names":["piyush-kumar-ghosh/digit-predictor"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Piyush-Kumar-Ghosh%2Fdigit-predictor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Piyush-Kumar-Ghosh%2Fdigit-predictor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Piyush-Kumar-Ghosh%2Fdigit-predictor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Piyush-Kumar-Ghosh%2Fdigit-predictor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Piyush-Kumar-Ghosh","download_url":"https://codeload.github.com/Piyush-Kumar-Ghosh/digit-predictor/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247957878,"owners_count":21024774,"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":["cnn","computer-vision","deep-learning","image-classification","machine-learning","mnist","portfolio-project","streamlit-webapp","tensorflow"],"created_at":"2025-04-09T01:34:18.541Z","updated_at":"2026-04-24T12:32:33.930Z","avatar_url":"https://github.com/Piyush-Kumar-Ghosh.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🧠 MNIST Digit Recognizer - Streamlit App\n\nThis is a simple and interactive web app that recognizes handwritten digits using a Convolutional Neural Network (CNN) trained on the MNIST dataset. Built with [Streamlit](https://streamlit.io), this app lets users draw digits directly in the browser and get real-time predictions.\n\n---\n\n## 🚀 Live Demo\n\n🔗 [Try the app on Streamlit](https://digit-predictor-hqfeqrpxxs5vvkgefv7ltp.streamlit.app/)\n\n\n---\n\n## 🖼️ App Features\n\n- Draw a digit (0-9) in the canvas\n- Live prediction with confidence scores\n- Built using TensorFlow + Streamlit\n\n---\n\n## 🧠 Model Info\n\n- Trained on the MNIST dataset\n- 2 Convolutional layers + Dense layers\n- Accuracy: ~98% on test set\n- Saved as: `mnist_digit_model.keras`\n\n---\n\n## 🛠️ How to Run Locally\n\n```bash\ngit clone https://github.com/Piyush-Kumar-Ghosh/digit-predictor.git\ncd digit-predictor\npip install -r requirements.txt\nstreamlit run app.py\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpiyush-kumar-ghosh%2Fdigit-predictor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpiyush-kumar-ghosh%2Fdigit-predictor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpiyush-kumar-ghosh%2Fdigit-predictor/lists"}