{"id":19321515,"url":"https://github.com/little-software-engineer/mood-recommender","last_synced_at":"2026-05-06T00:04:14.585Z","repository":{"id":221848855,"uuid":"755544417","full_name":"little-software-engineer/mood-recommender","owner":"little-software-engineer","description":"Personal and fun project (later my thesis reference) I made that lets the user input their mood and gives them a movie, K-Drama and a song recommendation based on the input.","archived":false,"fork":false,"pushed_at":"2025-01-20T16:57:33.000Z","size":59,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-17T00:03:22.845Z","etag":null,"topics":["html","java","kdrama","movie","music","mysql","recommendation-system","spring"],"latest_commit_sha":null,"homepage":"","language":"Java","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/little-software-engineer.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}},"created_at":"2024-02-10T14:39:52.000Z","updated_at":"2025-04-05T14:52:08.000Z","dependencies_parsed_at":"2025-01-06T05:28:27.130Z","dependency_job_id":"1ef27f90-3c66-40e7-b70c-6cfa9f232251","html_url":"https://github.com/little-software-engineer/mood-recommender","commit_stats":null,"previous_names":["little-software-engineer/mood-recommender"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/little-software-engineer/mood-recommender","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/little-software-engineer%2Fmood-recommender","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/little-software-engineer%2Fmood-recommender/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/little-software-engineer%2Fmood-recommender/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/little-software-engineer%2Fmood-recommender/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/little-software-engineer","download_url":"https://codeload.github.com/little-software-engineer/mood-recommender/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/little-software-engineer%2Fmood-recommender/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32672685,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-05T11:29:49.557Z","status":"ssl_error","status_checked_at":"2026-05-05T11:29:48.587Z","response_time":54,"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":["html","java","kdrama","movie","music","mysql","recommendation-system","spring"],"created_at":"2024-11-10T01:37:44.466Z","updated_at":"2026-05-06T00:04:14.569Z","avatar_url":"https://github.com/little-software-engineer.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"# **Mood Recommender App**\n\nWelcome to the **Mood Recommender App**! This Spring project utilizes HTML, MySQL, and Java to recommend you a movie, a song, and a K-drama based on your mood input. The app takes into account four mood options: **Happy**, **Sad**, **Calm**, and **Excited**. Please note that the mood input is case sensitive.\n\n## **Motivation**\nAs a lover of movies, music, and K-dramas, I wanted to create a fun project that combines my passion with my interest in learning different frameworks. Thus, the **Mood Recommender App** was born! Later on, this project was used as my university thesis project.\n\n## **How it Works**\n1. Start by submitting your current mood.\n2. The app will process your mood input.\n3. Based on your mood, the app will recommend a movie, a song, and a K-drama tailored to your emotional state.\n\n## **Technologies Used**\n- Spring Framework\n- HTML\n- Java\n- MySQL\n\n## **Installation**\n1. Clone this repository to your local machine.\n2. Ensure you have Java and Spring installed.\n3. 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