{"id":23263578,"url":"https://github.com/akash-nath29/shushruta","last_synced_at":"2026-04-30T07:37:13.403Z","repository":{"id":246871250,"uuid":"821840253","full_name":"Akash-nath29/Shushruta","owner":"Akash-nath29","description":"Healthcare assistant able to detect : Heart Disease, Parkinson's disease, Diabetes","archived":false,"fork":false,"pushed_at":"2024-07-03T07:21:09.000Z","size":70,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T06:27:13.814Z","etag":null,"topics":["disease-prediction","machine-learning","streamlit","streamlit-webapp"],"latest_commit_sha":null,"homepage":"https://shushruta.onrender.com","language":"Jupyter Notebook","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/Akash-nath29.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","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}},"created_at":"2024-06-29T15:28:51.000Z","updated_at":"2024-07-03T07:21:12.000Z","dependencies_parsed_at":"2024-07-05T17:26:42.284Z","dependency_job_id":null,"html_url":"https://github.com/Akash-nath29/Shushruta","commit_stats":null,"previous_names":["akash-nath29/shushruta"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Akash-nath29/Shushruta","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash-nath29%2FShushruta","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash-nath29%2FShushruta/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash-nath29%2FShushruta/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash-nath29%2FShushruta/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Akash-nath29","download_url":"https://codeload.github.com/Akash-nath29/Shushruta/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash-nath29%2FShushruta/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261193072,"owners_count":23122903,"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":["disease-prediction","machine-learning","streamlit","streamlit-webapp"],"created_at":"2024-12-19T14:19:07.761Z","updated_at":"2026-04-30T07:37:13.353Z","avatar_url":"https://github.com/Akash-nath29.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Shushruta: Disease Prediction System\n\n![Logo](https://via.placeholder.com/150)\n\n## Overview\n\nShushruta is a comprehensive tool designed to predict multiple diseases, including diabetes, heart disease, and Parkinson's disease, using machine learning models. The system leverages various datasets and provides a user-friendly interface for making predictions.\n\n## Features\n\n- **Multi-Disease Prediction**: Supports predictions for diabetes, heart disease, and Parkinson's disease.\n- **Machine Learning Models**: Utilizes advanced machine learning techniques for accurate predictions.\n- **User-Friendly Interface**: Easy-to-use interface built with Streamlit for seamless interaction.\n- **Extensive Datasets**: Uses well-known datasets to train and validate models.\n\n## Project Structure\n\n```\nShushruta-main/\n├── dataset/\n│   ├── diabetes.csv\n│   ├── heart.csv\n│   └── parkinsons.csv\n├── notebooks/\n│   ├── Multiple disease prediction system - diabetes.ipynb\n│   ├── Multiple disease prediction system - heart.ipynb\n│   └── Multiple disease prediction system - Parkinsons.ipynb\n|── models/\n|   ├── diabetes_model.sav\n|   ├── heart_disease_model.sav\n|   └── parkinsons_model.sav\n├── requirements.txt\n└── streamlit_app.py\n```\n\n## Installation\n\n### Prerequisites\n\n- [Python 3.10 or Above](https://www.python.org/)\n- [Streamlit](https://streamlit.io/)\n\n### Steps\n\n1. **Clone the Repository**\n\n    ```bash\n    git clone https://github.com/yourusername/Shushruta.git\n    cd Shushruta\n    ```\n\n2. **Install Dependencies**\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n3. **Run the Streamlit Application**\n\n    ```bash\n    streamlit run streamlit_app.py\n    ```\n\n## Usage\n\n1. Open your browser and navigate to the Streamlit app (usually at `http://localhost:8501`).\n2. Select the disease you want to predict (diabetes, heart disease, or Parkinson's).\n3. Enter the required input parameters.\n4. Click on the \"Predict\" button to get the prediction results.\n\n## Datasets\n\n- **Diabetes Dataset**: Contains various health metrics used to predict diabetes.\n- **Heart Disease Dataset**: Includes features relevant to heart disease prediction.\n- **Parkinson's Disease Dataset**: Consists of attributes related to Parkinson's disease.\n\n## Notebooks\n\nThe project includes Jupyter notebooks for each disease prediction model, detailing the data preprocessing, model training, and evaluation processes:\n\n- `Multiple disease prediction system - diabetes.ipynb`\n- `Multiple disease prediction system - heart.ipynb`\n- `Multiple disease prediction system - Parkinsons.ipynb`\n\n## Contributing\n\nWe welcome contributions from the community! Please read our [contributing guidelines](CONTRIBUTING.md) before making any changes.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n\n## Contact\n\nFor any questions or suggestions, please reach out to us at [devakash2905@gmail.com](mailto:devakash2905@gmail.com).\n\n![Demo](https://via.placeholder.com/600x400)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakash-nath29%2Fshushruta","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakash-nath29%2Fshushruta","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakash-nath29%2Fshushruta/lists"}