{"id":21362174,"url":"https://github.com/utsanjan/traffic-prediction-model","last_synced_at":"2025-07-13T02:33:01.550Z","repository":{"id":43290710,"uuid":"457783720","full_name":"utsanjan/Traffic-Prediction-Model","owner":"utsanjan","description":"Traffic prediction model built with python using Machine learning and Image processing","archived":false,"fork":false,"pushed_at":"2023-01-27T09:48:56.000Z","size":85847,"stargazers_count":3,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-05-01T19:45:04.156Z","etag":null,"topics":["anaconda","image-processing","ipynb","jupyter-notebook","machine-learning","matplotlib","numpy","pip","python","python3","tensorflow","traffic-prediction"],"latest_commit_sha":null,"homepage":"https://utsanjan.bio.link/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/utsanjan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null},"funding":{"github":"utsanjan","custom":"buymeacoffee.com/utsanjan"}},"created_at":"2022-02-10T13:06:30.000Z","updated_at":"2022-11-04T08:01:20.000Z","dependencies_parsed_at":"2023-02-15T07:45:56.572Z","dependency_job_id":null,"html_url":"https://github.com/utsanjan/Traffic-Prediction-Model","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utsanjan%2FTraffic-Prediction-Model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utsanjan%2FTraffic-Prediction-Model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utsanjan%2FTraffic-Prediction-Model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utsanjan%2FTraffic-Prediction-Model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/utsanjan","download_url":"https://codeload.github.com/utsanjan/Traffic-Prediction-Model/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225850164,"owners_count":17534067,"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":["anaconda","image-processing","ipynb","jupyter-notebook","machine-learning","matplotlib","numpy","pip","python","python3","tensorflow","traffic-prediction"],"created_at":"2024-11-22T06:14:08.777Z","updated_at":"2024-11-22T06:14:10.156Z","avatar_url":"https://github.com/utsanjan.png","language":"Jupyter Notebook","funding_links":["https://github.com/sponsors/utsanjan","buymeacoffee.com/utsanjan","https://www.buymeacoffee.com/utsanjan"],"categories":[],"sub_categories":[],"readme":"# 🚗 Traffic Prediction With ML\n[![Buy Me A Coffee](https://img.shields.io/open-vsx/stars/redhat/java?color=D8B024\u0026label=buy%20me%20a%20coffee\u0026style=plastic)](https://www.buymeacoffee.com/utsanjan)‎ ‎\n[![](https://img.shields.io/github/license/utsanjan/Traffic-Prediction-Model?logoColor=red\u0026style=plastic)](https://github.com/utsanjan/Traffic-Prediction-Model/blob/main/LICENSE)‎ ‎\n[![](https://img.shields.io/github/languages/count/utsanjan/Traffic-Prediction-Model?style=plastic)](https://github.com/utsanjan/Traffic-Prediction-Model/search?l=shell)‎ ‎\n[![](https://img.shields.io/github/languages/top/utsanjan/Traffic-Prediction-Model?color=light%20green\u0026style=plastic)](https://github.com/utsanjan/Traffic-Prediction-Model)‎ ‎ \u003cbr\u003e \n\nThe traffic prediction model is built with python using Machine learning and Image processing. Jupyter Notebook is used as the base IDE for making this project. It detects the number of vehicle passing a red imaginary line also known as the ROI (Region of interest) and predicts the traffic density in that specific area. It also save details like the car's color serially in a csv file and at the same time also saves individual images of each detected vehicles inside a folder named **detected_vehicles** in png format.\u003cbr\u003e\n \n\u003e ### Points to be noted:\n\u003e Feel free to fork this project from my repo,\n\u003e \u003cbr\u003eand do report me the bugs if you find one.\n\u003e \u003cbr\u003eIncase anyone wants to use the source code\n\u003e \u003cbr\u003eyou can clone it from the Repository itself.\n\n## 📲 Working Demo\n\u003cimg width=\"80%\" src=\"https://user-images.githubusercontent.com/22610163/43166455-45964aac-8f9f-11e8-9ddf-f71d05f0c7f5.gif\"\u003e\n\n## 🛠️ Usage Guide\nThis is a Jupyter notebook project. Hence, simply just open the project folder\u003cbr\u003e\nwith [Jupyter Notebook](https://jupyter.org) and run all the cells of **vehicle_detection_main.ipynb**\u003cbr\u003e\none by one. And yes also make sure to install all the requirements by using:\u003cbr\u003e\n```\npip install -r requirements.txt\n```\n\n## 📞 Contacts \nFor Queries: [My Instagram Profile](https://www.instagram.com/utsanjan/)  \u003cbr\u003e\n[Check Out My YouTube Channel](https://www.youtube.com/DopeSatan)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Futsanjan%2Ftraffic-prediction-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Futsanjan%2Ftraffic-prediction-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Futsanjan%2Ftraffic-prediction-model/lists"}