{"id":28974883,"url":"https://github.com/plcoster/cs50ai-projects","last_synced_at":"2025-07-26T04:07:48.829Z","repository":{"id":41383304,"uuid":"396192553","full_name":"PLCoster/cs50ai-projects","owner":"PLCoster","description":"Projects Completed for Harvard's CS50 AI: Introduction to Artificial Intelligence with Python","archived":false,"fork":false,"pushed_at":"2021-08-15T02:56:53.000Z","size":2,"stargazers_count":9,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-14T06:32:56.712Z","etag":null,"topics":["ai","python"],"latest_commit_sha":null,"homepage":"https://plcoster.github.io/homepage/cs50ai_projects.html","language":null,"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/PLCoster.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}},"created_at":"2021-08-15T02:34:51.000Z","updated_at":"2024-10-21T20:22:46.000Z","dependencies_parsed_at":"2022-08-25T11:41:31.290Z","dependency_job_id":null,"html_url":"https://github.com/PLCoster/cs50ai-projects","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/PLCoster/cs50ai-projects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PLCoster%2Fcs50ai-projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PLCoster%2Fcs50ai-projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PLCoster%2Fcs50ai-projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PLCoster%2Fcs50ai-projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PLCoster","download_url":"https://codeload.github.com/PLCoster/cs50ai-projects/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PLCoster%2Fcs50ai-projects/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261669009,"owners_count":23192362,"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","python"],"created_at":"2025-06-24T12:07:13.516Z","updated_at":"2025-06-24T12:07:21.266Z","avatar_url":"https://github.com/PLCoster.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# CS50 AI Projects\n\nHere are descriptions and links to the projects completed for [Harvard's CS50 AI: Introduction to Artificial Intelligence with Python](https://www.edx.org/course/cs50s-introduction-to-artificial-intelligence-with-python).\n\n\n## Search\n\n### Degrees\n\nImplementation of a Breadth-First Search Algorithm to find the degrees of separation between two selected actors, by films they have starred in.\n- [Github](https://github.com/PLCoster/cs50ai-week0-degrees)  \n- [Demo](https://youtu.be/yk_eLo4vXqk)\n\n### Tic-Tac-Toe\n\nImplementation of a Tic Tac Toe AI using a Minimax Algorithm with Alpha-Beta pruning. Randomisation varies the AI's moves where several have equal utility.\n- [Github](https://github.com/PLCoster/cs50ai-week0-tictactoe)\n- [Demo](https://youtu.be/wEpcmVQ2US4)\n\n\n## Knowledge\n\n### Knights\n\nSolutions to 'Knights and Knaves' style logic puzzles using Propositional Logic and Model Checking.\n- [Github](https://github.com/PLCoster/cs50ai-week1-knights)\n- [Demo](https://youtu.be/Exrwm2OrTko)\n\n### Minesweeper\n\nAn AI that plays the classic Windows 'Minesweeper' game, using a knowledge base and inference to generate new knowledge about the game state.\n- [Github](https://github.com/PLCoster/cs50ai-week1-minesweeper)\n- [Demo](https://youtu.be/PW1k7TWhvuY)\n\n\n## Uncertainty\n\n### PageRank\n\nAn AI that ranks web pages by importance - similar to the Google PageRank AI - using both a Random Surfer Model and an Iterative Algorithm.\n- [Github](https://github.com/PLCoster/cs50ai-week2-pagerank)\n- [Demo](https://youtu.be/e76D3yuUNZU)\n\n### Heredity\n\nAn AI that predicts the likelihood of members of a family having a 0, 1, or 2 copies of a gene, and a trait caused by that gene, using a Bayesian Network and Inference by Enumeration.\n- [Github](https://github.com/PLCoster/cs50ai-week2-heredity)\n- [Demo](https://youtu.be/Hq4lpH_DNaE)\n\n\n## Optimisation\n\n### Crossword\n\nAn AI that generates crossword puzzles, by treating the crossword generation as a constraint satisfaction problem and using a backtracking search algorithm.\n- [Github](https://github.com/PLCoster/cs50ai-week3-crossword)\n- [Demo](https://youtu.be/X71-WKXkxqQ)\n\n\n## Learning\n\n### Shopping\n\nAn AI that predicts whether online shopping customers will complete a purchase, using the Scikit-Learn k-Nearest Neighbour classifier on a customer dataset.\n- [Github](https://github.com/PLCoster/cs50ai-week4-shopping)\n- [Demo] TODO\n\n### Nim\n\nAn AI that teaches itself to play the game 'Nim' using Reinforcement Learning. A Q-Learning algorithm with ε-Greedy Decision Making is used to estimate the value of actions for game states.\n- [Github](https://github.com/PLCoster/cs50ai-week4-nim)\n- [Demo] TODO\n\n\n## Neural Networks\n\n### Traffic\n\nAn AI that identifies which traffic sign appears in a photograph, using a TensorFlow convolutional neural network.\n- [Github](https://github.com/PLCoster/cs50ai-week5-traffic)\n- [Demo] TODO\n\n\n## Language\n\n### Parser\n\nAn AI that can parse sentences and extract noun phrases, using the context-free grammar formalism and the Python nltk library.\n- [Github](https://github.com/PLCoster/cs50ai-week6-parser)\n- [Demo] TODO\n\n### Questions\n\nAn AI that answers questions, by determining the most relevant document(s) using tf-idf ranking and then extracting the most relevant sentence(s) using idf and a query term density measure.\n- [Github](https://github.com/PLCoster/cs50ai-week6-questions)\n- [Demo] TODO\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fplcoster%2Fcs50ai-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fplcoster%2Fcs50ai-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fplcoster%2Fcs50ai-projects/lists"}