{"id":24875873,"url":"https://github.com/anshuman-02/ai_search_techniques_python","last_synced_at":"2025-07-24T22:40:01.635Z","repository":{"id":273761653,"uuid":"920797871","full_name":"Anshuman-02/AI_Search_Techniques_Python","owner":"Anshuman-02","description":"Python implementation of Generate-and-Test and Hill Climbing algorithms, demonstrating core AI search techniques.","archived":false,"fork":false,"pushed_at":"2025-01-22T19:44:43.000Z","size":471,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-05T00:06:16.843Z","etag":null,"topics":["ai","artificialintelligence","generateandtest","hillclimbing","optimization","python","searchalgorithms"],"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/Anshuman-02.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}},"created_at":"2025-01-22T19:39:42.000Z","updated_at":"2025-01-22T19:46:07.000Z","dependencies_parsed_at":"2025-01-22T20:43:13.780Z","dependency_job_id":null,"html_url":"https://github.com/Anshuman-02/AI_Search_Techniques_Python","commit_stats":null,"previous_names":["anshuman-02/ai_search_techniques_python"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Anshuman-02/AI_Search_Techniques_Python","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FAI_Search_Techniques_Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FAI_Search_Techniques_Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FAI_Search_Techniques_Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FAI_Search_Techniques_Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anshuman-02","download_url":"https://codeload.github.com/Anshuman-02/AI_Search_Techniques_Python/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FAI_Search_Techniques_Python/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265461303,"owners_count":23769772,"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":["ai","artificialintelligence","generateandtest","hillclimbing","optimization","python","searchalgorithms"],"created_at":"2025-02-01T08:18:18.162Z","updated_at":"2025-07-15T21:33:03.030Z","avatar_url":"https://github.com/Anshuman-02.png","language":"Python","readme":"# Implementations of AI Search Techniques: Generate-And-Test and Hill Climbing  \n\n## Overview  \nThis repository contains Python implementations of two foundational search techniques in Artificial Intelligence:  \n1. **Generate-And-Test Algorithm**  \n2. **Hill Climbing Algorithm**  \n\nThese algorithms are used to explore and solve optimization problems effectively by navigating a search space.\n\n---\n\n## Features  \n- **Generate-And-Test**:  \n  - Explores all possible solutions and tests them to find the correct or optimal one.  \n\n- **Hill Climbing**:  \n  - Iteratively improves the solution by moving to a better neighboring state until a local optimum is reached.  \n\n---\n\n## Example Scenarios\n\n- **Generate-And-Test**:\n  - Finds the correct solution from a set of possibilities, such as solving a puzzle or identifying a valid combination.\n\n\n- **Hill Climbing**:\n  - Solves optimization problems like finding the shortest path, maximizing utility, or other similar scenarios.\n\n\n## Requirements\n- Python 3.7 or later\n- No additional libraries are required for basic functionality.\n  \n## Notes\n- The algorithms are implemented in Python for educational purposes.\n- Hill Climbing may terminate at a local optimum depending on the problem space.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshuman-02%2Fai_search_techniques_python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanshuman-02%2Fai_search_techniques_python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshuman-02%2Fai_search_techniques_python/lists"}