{"id":28357417,"url":"https://github.com/sreelekhakummetha/diabetes-prediction","last_synced_at":"2026-05-03T18:32:59.092Z","repository":{"id":294903766,"uuid":"988463433","full_name":"sreelekhakummetha/diabetes-prediction","owner":"sreelekhakummetha","description":" \"Flask web app for diabetes prediction using ML\"","archived":false,"fork":false,"pushed_at":"2025-05-23T04:27:26.000Z","size":425,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-21T16:41:39.296Z","etag":null,"topics":["css","dataset","flask","html","joblib","machine-learning","numpy","pandas","scikitlearn-machine-learning"],"latest_commit_sha":null,"homepage":"","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sreelekhakummetha.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":"2025-05-22T15:26:25.000Z","updated_at":"2025-05-23T04:27:29.000Z","dependencies_parsed_at":"2025-05-26T04:04:26.572Z","dependency_job_id":null,"html_url":"https://github.com/sreelekhakummetha/diabetes-prediction","commit_stats":null,"previous_names":["sreelekhakummetha/diabetes-prediction"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sreelekhakummetha/diabetes-prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sreelekhakummetha%2Fdiabetes-prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sreelekhakummetha%2Fdiabetes-prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sreelekhakummetha%2Fdiabetes-prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sreelekhakummetha%2Fdiabetes-prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sreelekhakummetha","download_url":"https://codeload.github.com/sreelekhakummetha/diabetes-prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sreelekhakummetha%2Fdiabetes-prediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32579778,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T06:36:36.687Z","status":"ssl_error","status_checked_at":"2026-05-03T06:36:09.306Z","response_time":103,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["css","dataset","flask","html","joblib","machine-learning","numpy","pandas","scikitlearn-machine-learning"],"created_at":"2025-05-28T07:43:08.467Z","updated_at":"2026-05-03T18:32:59.087Z","avatar_url":"https://github.com/sreelekhakummetha.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🩺 Diabetes Prediction Web App 🩺\n\nA web application built with **Flask** and **Machine Learning** that predicts whether a person is likely to have diabetes based on medical diagnostic measurements.\n\n---\n\n## 📌 Project Overview\n\nThis project uses a **Machine Learning classification model** trained on the Pima Indians Diabetes Database to predict diabetes. The app allows users to input patient health data through a simple web form and get instant predictions.\n\n---\n\n## 📊 Technologies Used\n\n- **Python 3**\n- **Flask**\n- **Scikit-learn**\n- **Pandas**\n- **NumPy**\n- **HTML / CSS (for frontend)**\n- **Joblib** (for model serialization)\n\n---\n\n## 📁 Project Structure\n\ndiabetes-prediction-flask/\n│\n├── app.py # Flask web app\n├── prediction.py # Model training and saving script\n├── diabetes_model.pkl # Saved trained ML model \n├── README.md # Project info and instructions\n└── templates/\n└── index.html\n|__ screenshots/\n|___ homepage.png\n|___ prediction.png\n\n# Frontend form for user input\n\n---\n\n## ⚙️ How to Run the Project Locally\n\n1. **Clone the Repository**\n   ```bash\n   git clone https://github.com/sreelekhakummetha/diabetes-prediction-flask.git\n   cd diabetes-prediction-flask\n   \n2. **create virtual environment\n   python -m venv venv\n   \n3.Activate virtual environment\n.\\venv\\Scripts\\activate\n\n4.install requirements\n\n5.Run falsk app\npython app.py\n\n6.Open the App\nVisit http://127.0.0.1:5000/ in your web browser.\n\n\n📊 Input Features\n\nThe app uses the following health parameters for prediction:\n\nPregnancies — Number of times pregnant\n\nGlucose — Plasma glucose concentration\n\nBloodPressure — Diastolic blood pressure (mm Hg)\n\nSkinThickness — Triceps skinfold thickness (mm)\n\nInsulin — 2-Hour serum insulin (mu U/ml)\n\nBMI — Body mass index (weight in kg/(height in m)^2)\n\nDiabetesPedigreeFunction — Diabetes pedigree function (hereditary factor)\n\nAge — Age in years\n\n📜 License\n\nThis project is open-source and free to use under the MIT License.\n\nDEMO\n\n## 📸 Screenshots\n\n### 🔹 Home Page\nscreenshots/homepage.png\n\n### 🔹 Prediction Result\nscreenshots/prediction.png\n\n\n\n\n\n\n\n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsreelekhakummetha%2Fdiabetes-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsreelekhakummetha%2Fdiabetes-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsreelekhakummetha%2Fdiabetes-prediction/lists"}