{"id":28384500,"url":"https://github.com/shr-reny/medibuddy","last_synced_at":"2026-04-24T12:34:15.459Z","repository":{"id":250108534,"uuid":"833482019","full_name":"Shr-reny/MediBuddy","owner":"Shr-reny","description":"This tool uses the gemini flash model to predict possible disease from an input image. It also provides further steps and treatment if available.","archived":false,"fork":false,"pushed_at":"2024-08-10T15:10:40.000Z","size":70,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-25T23:35:24.131Z","etag":null,"topics":["gemini-flash","python","streamlit"],"latest_commit_sha":null,"homepage":"https://medibuddy-shruti.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/Shr-reny.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":"2024-07-25T06:32:37.000Z","updated_at":"2024-08-10T15:10:42.000Z","dependencies_parsed_at":"2025-06-25T23:31:09.670Z","dependency_job_id":"ae2e6546-55e5-4c37-ba07-0721e18c222d","html_url":"https://github.com/Shr-reny/MediBuddy","commit_stats":null,"previous_names":["shr-reny/medibuddy"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Shr-reny/MediBuddy","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shr-reny%2FMediBuddy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shr-reny%2FMediBuddy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shr-reny%2FMediBuddy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shr-reny%2FMediBuddy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Shr-reny","download_url":"https://codeload.github.com/Shr-reny/MediBuddy/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shr-reny%2FMediBuddy/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32224231,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-24T10:26:35.452Z","status":"ssl_error","status_checked_at":"2026-04-24T10:25:27.643Z","response_time":64,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: 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":["gemini-flash","python","streamlit"],"created_at":"2025-05-30T08:38:51.916Z","updated_at":"2026-04-24T12:34:15.445Z","avatar_url":"https://github.com/Shr-reny.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# MediBuddy\n\nAn AI assistant to help you predict the disease by looking at the affected disease image. It also talks about possible symptoms, suggests further tests and treatments if available. It uses the Gemini-flash model to process image prompts.\n\n\n\n\n## Run Locally\n\nClone the project\n\n```bash\n  git clone https://github.com/Shr-reny/MediBuddy.git\n```\n\nGo to the project directory\n\n```bash\n  cd my-project\n```\n\nInstall dependencies\n\n```bash\n  pip install -r requirements.txt\n```\nTo run this project, you will need to add the Gemini API key to your .env file `API_KEY`\n\nStart the server\n\n```bash\n  python -m streamlit run app.py\n```\n\n\n## App Link\n\nhttps://medibuddy-shruti.streamlit.app/\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshr-reny%2Fmedibuddy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshr-reny%2Fmedibuddy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshr-reny%2Fmedibuddy/lists"}