{"id":28923983,"url":"https://github.com/srijon57/disease-detector","last_synced_at":"2026-04-11T12:03:10.640Z","repository":{"id":297640961,"uuid":"997334669","full_name":"srijon57/Disease-Detector","owner":"srijon57","description":"Practice python3 detecting diseases based on symptoms ","archived":false,"fork":false,"pushed_at":"2025-10-02T03:34:37.000Z","size":107662,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-10-02T05:36:13.103Z","etag":null,"topics":["flask","machine-learning","pandas","python3","scikit-learn","typescript","vite"],"latest_commit_sha":null,"homepage":"https://disease-detector-drab.vercel.app","language":"TypeScript","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/srijon57.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2025-06-06T10:57:20.000Z","updated_at":"2025-10-02T03:34:40.000Z","dependencies_parsed_at":"2025-06-06T15:38:33.351Z","dependency_job_id":"c49b45cc-78ac-4aa1-8703-e8daa86bbc9d","html_url":"https://github.com/srijon57/Disease-Detector","commit_stats":null,"previous_names":["srijon57/disease-detector"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/srijon57/Disease-Detector","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srijon57%2FDisease-Detector","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srijon57%2FDisease-Detector/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srijon57%2FDisease-Detector/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srijon57%2FDisease-Detector/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/srijon57","download_url":"https://codeload.github.com/srijon57/Disease-Detector/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srijon57%2FDisease-Detector/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279012992,"owners_count":26085221,"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","status":"online","status_checked_at":"2025-10-12T02:00:06.719Z","response_time":53,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["flask","machine-learning","pandas","python3","scikit-learn","typescript","vite"],"created_at":"2025-06-22T10:02:37.035Z","updated_at":"2025-10-12T21:17:25.822Z","avatar_url":"https://github.com/srijon57.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Disease Detector\n\nA project to detect diseases based on symptoms using a machine learning model. The frontend is built with Vite and TypeScript, and the backend is powered by Python using Flask.\n\n## Table of Contents\n\n- [Features](#features)\n- [Technologies](#technologies)\n- [Setup](#setup)\n  - [Frontend Setup](#frontend-setup)\n  - [Backend Setup](#backend-setup)\n- [Usage](#usage)\n- [Data](#data)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Features\n\n- Input symptoms to predict potential diseases.\n- View detailed descriptions and precautions for predicted diseases.\n- User-friendly interface with search and selection capabilities.\n\n## Technologies\n\n### Frontend\n\n- Vite\n- TypeScript\n- React\n\n### Backend\n\n- Python 3\n- Flask\n- scikit-learn\n- pandas\n\n## Setup\n\n### Prerequisites\n\n- vite/react (for frontend)\n- Python 3 (for backend)\n- pip (Python package installer)\n\n### Frontend Setup\n\n1. Navigate to the frontend directory:\n   cd frontend\n\n2. Install dependencies:\n   npm install\n\n3. Run the development server:\n   npm run dev\n\n### Backend Setup\n\n1. Navigate to the backend directory:\n   cd backend\n\n2. Create a virtual environment (optional but recommended):\n   python -m venv venv\n\n3. Activate the virtual environment:\n   source venv/bin/activate\n\n4. Install dependencies:\n   pip install -r requirements.txt\n\n5. Run the Flask server:\n   python app.py\n\n## Usage\n\n1. Start the frontend and backend servers as described in the setup instructions.\n2. Open your browser and navigate to the frontend URL (usually http://localhost:5173 or similar).\n3. Use the interface to select symptoms and predict potential diseases.\n\n## Data\n\nThe machine learning model uses a dataset sourced from Kaggle. The dataset includes symptoms mapped to various diseases, along with descriptions and precautions.\n\n## Contributing\n\nContributions are welcome! Please follow these steps:\n\n1. Fork the repository.\n2. Create a new branch for your feature or bug fix.\n3. Make your changes and commit them with descriptive messages.\n4. Push your changes to your fork.\n5. Submit a pull request to the main repository.\n\n## License\n\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsrijon57%2Fdisease-detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsrijon57%2Fdisease-detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsrijon57%2Fdisease-detector/lists"}