{"id":28335500,"url":"https://github.com/trishaamandal/instareach","last_synced_at":"2026-05-08T17:31:52.852Z","repository":{"id":292365495,"uuid":"980664412","full_name":"trishaamandal/Instareach","owner":"trishaamandal","description":null,"archived":false,"fork":false,"pushed_at":"2025-05-09T14:16:33.000Z","size":5,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-19T15:47:04.849Z","etag":null,"topics":["final-year-project","github","machine-learning","model","numpy","prediction","project"],"latest_commit_sha":null,"homepage":"","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/trishaamandal.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":"2025-05-09T13:59:28.000Z","updated_at":"2025-05-09T14:20:07.000Z","dependencies_parsed_at":"2025-05-09T15:34:16.933Z","dependency_job_id":"d15f20a7-affd-4692-8307-7c33697557d9","html_url":"https://github.com/trishaamandal/Instareach","commit_stats":null,"previous_names":["trishaamandal/instareach"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/trishaamandal/Instareach","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trishaamandal%2FInstareach","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trishaamandal%2FInstareach/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trishaamandal%2FInstareach/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trishaamandal%2FInstareach/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/trishaamandal","download_url":"https://codeload.github.com/trishaamandal/Instareach/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trishaamandal%2FInstareach/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32790203,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"ssl_error","status_checked_at":"2026-05-08T08:22:45.650Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["final-year-project","github","machine-learning","model","numpy","prediction","project"],"created_at":"2025-05-26T21:59:25.593Z","updated_at":"2026-05-08T17:31:52.845Z","avatar_url":"https://github.com/trishaamandal.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Instagram Reach Forecasting using Python\n\n## 📌 Overview\n### Not everyone is active on social media all the time. Usage drops during exam seasons, festivals, and other events.This project helps content creators and digital marketers predict Instagram reach  to plan posts more effectively and improve engagement. We use historical reach data to forecast future trends using the SARIMA (Seasonal ARIMA) time series model.\n\n# 🛠️ Tools \u0026 Technologies\n## - Python\n## - Pandas \u0026 NumPy\n## - Matplotlib \u0026 Seaborn (for visualization)\n## - Statsmodels (SARIMA model)\n\n\n# 🔍 Dataset\n### The dataset contains historical Instagram reach metrics over a time period.(Replace with link or mention source)\n\n\n# 🚀 How to Run\n\n## Clone the repo or download\n```bash\ngit clone https://github.com/trishaamandal/Instareach\n```\n\n## Install dependencies:\n```bash\npip install pandas numpy matplotlib seaborn statsmodels\n```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrishaamandal%2Finstareach","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftrishaamandal%2Finstareach","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrishaamandal%2Finstareach/lists"}