{"id":28520413,"url":"https://github.com/swarnim1812/crime_project","last_synced_at":"2026-01-31T07:31:16.059Z","repository":{"id":297799440,"uuid":"997623605","full_name":"Swarnim1812/Crime_Project","owner":"Swarnim1812","description":"AI-Driven Crime Forecasting Across Indian States — A pioneering machine learning project that harnesses time series modeling (SARIMAX, Ridge Regression) to uncover patterns and forecast crime trends using real-world multi-state temporal and socio-economic data.","archived":false,"fork":false,"pushed_at":"2025-08-12T20:21:05.000Z","size":28695,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-12T22:17:09.506Z","etag":null,"topics":["analytics","crime-locator","crime-prediction","data-analysis","deep-learning","machine-learning","prophet-facebook","sarimax-model","time-series-forecasting"],"latest_commit_sha":null,"homepage":"","language":"HTML","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/Swarnim1812.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":"2025-06-06T21:08:22.000Z","updated_at":"2025-08-12T20:21:09.000Z","dependencies_parsed_at":"2025-08-12T22:10:19.633Z","dependency_job_id":"b28942f4-6efe-4b36-aecd-4f43ab654030","html_url":"https://github.com/Swarnim1812/Crime_Project","commit_stats":null,"previous_names":["swarnim1812/crime_project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Swarnim1812/Crime_Project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Swarnim1812%2FCrime_Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Swarnim1812%2FCrime_Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Swarnim1812%2FCrime_Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Swarnim1812%2FCrime_Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Swarnim1812","download_url":"https://codeload.github.com/Swarnim1812/Crime_Project/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Swarnim1812%2FCrime_Project/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28933223,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-31T04:05:25.756Z","status":"ssl_error","status_checked_at":"2026-01-31T04:02:35.005Z","response_time":128,"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":["analytics","crime-locator","crime-prediction","data-analysis","deep-learning","machine-learning","prophet-facebook","sarimax-model","time-series-forecasting"],"created_at":"2025-06-09T07:07:08.406Z","updated_at":"2026-01-31T07:31:16.054Z","avatar_url":"https://github.com/Swarnim1812.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Crime Data Analysis Website\n### Necessary packages to install:\n1. Flask \n- pip install Flask\n2. Google Spreadsheets\n- pip install gspread oauth2client \n### Steps to run code:\n1. Download repository.\n2. Open app.py in VS code.\n3. Use ctrl+shift+P to select python interpreter.\n4. Run app.py\n5. When server is initialized, copy link and paste in your web browser\n\n\n### Points to remember for developers:\n- All .html files are to be kept in **templates** folder\n- All associated static files like .css, .js and images are to be kept in **static** folder.\n- Paths are to be mentioned like this:\n```html\n\u003clink rel=\"stylesheet\" href=\"{{url_for('static',filename='index.css')}}\"\u003e \n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fswarnim1812%2Fcrime_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fswarnim1812%2Fcrime_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fswarnim1812%2Fcrime_project/lists"}