{"id":15132679,"url":"https://github.com/dwija12903/ai-lab","last_synced_at":"2026-01-19T11:32:37.340Z","repository":{"id":256176855,"uuid":"854516422","full_name":"dwija12903/ai-lab","owner":"dwija12903","description":"A collection of practical implementations from my AI Labs course","archived":false,"fork":false,"pushed_at":"2024-09-09T10:20:26.000Z","size":12,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T21:44:56.322Z","etag":null,"topics":["keras","numpy","sckit-learn","tensorflow"],"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/dwija12903.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":"2024-09-09T10:12:01.000Z","updated_at":"2024-09-09T10:27:24.000Z","dependencies_parsed_at":"2024-09-09T12:23:23.490Z","dependency_job_id":"fc3558f4-e544-4180-8d81-5c78b565d9a5","html_url":"https://github.com/dwija12903/ai-lab","commit_stats":null,"previous_names":["dwija12903/ai-lab"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dwija12903/ai-lab","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dwija12903%2Fai-lab","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dwija12903%2Fai-lab/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dwija12903%2Fai-lab/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dwija12903%2Fai-lab/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dwija12903","download_url":"https://codeload.github.com/dwija12903/ai-lab/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dwija12903%2Fai-lab/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28566432,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-19T08:53:44.001Z","status":"ssl_error","status_checked_at":"2026-01-19T08:52:40.245Z","response_time":67,"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":["keras","numpy","sckit-learn","tensorflow"],"created_at":"2024-09-26T04:22:16.240Z","updated_at":"2026-01-19T11:32:37.325Z","avatar_url":"https://github.com/dwija12903.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🤖 AI Labs Course Files\n\nWelcome to the **AI Labs Repository**! This repository contains a collection of practical implementations from my AI Labs course, covering essential concepts in Artificial Intelligence.\n\n## 🔍 Lab Overview\n\nThe following algorithms and models have been implemented in Python (or other applicable languages) as part of the coursework:\n\n1. **Depth-First Search (DFS)** 🌳\n2. **Breadth-First Search (BFS)** 🌲\n3. **Water Jug Problem** 💧\n4. **Uniform Cost Search** 🧮\n5. **Perceptron Model** 🧠\n6. **Artificial Neural Networks (ANN)** 🔗\n7. **A * Search Algorithm** 🌟\n8. **Convolutional Neural Networks (CNN)** 🖼️\n9. **Tic-Tac-Toe AI** 🎮\n10. **Backpropagation in Perceptron** 🔄\n\n## 🧠 Key Concepts Covered\n\n- **Search Algorithms:** DFS, BFS, A-star, and Uniform Cost Search for problem-solving and pathfinding.\n- **Neural Networks:** ANN, Perceptron, CNN, and Backpropagation for machine learning models and image processing.\n- **Game AI:** Implementation of a Tic-Tac-Toe AI for strategic decision-making.\n\n## 🗂️ File Structure\n\nEach folder contains the source code and related files for a specific algorithm or model:\n- `DFS/`: Depth-First Search\n- `BFS/`: Breadth-First Search\n- `WaterJug/`: Water Jug Problem\n- `UniformSearch/`: Uniform Cost Search\n- `Perceptron/`: Perceptron Model\n- `ANN/`: Artificial Neural Networks\n- `AStar/`: A* Search Algorithm\n- `CNN/`: Convolutional Neural Networks\n- `TicTacToe/`: Tic-Tac-Toe AI\n- `Backpropagation/`: Backpropagation in Perceptron\n\n## 🚀 How to Run\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/dwija12903/ai-lab.git\n   cd AI-Labs\n   ```\n\n2. Navigate to the specific folder and run the file for each algorithm.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdwija12903%2Fai-lab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdwija12903%2Fai-lab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdwija12903%2Fai-lab/lists"}