{"id":17723437,"url":"https://github.com/vivek3141/forest-fire-predictor","last_synced_at":"2025-03-14T05:31:58.027Z","repository":{"id":96162757,"uuid":"158019049","full_name":"vivek3141/forest-fire-predictor","owner":"vivek3141","description":"Predict the damage done by forest fires using Deep Learning. ","archived":false,"fork":false,"pushed_at":"2018-11-18T15:54:26.000Z","size":265,"stargazers_count":12,"open_issues_count":1,"forks_count":5,"subscribers_count":1,"default_branch":"master","last_synced_at":"2023-03-02T04:25:48.800Z","etag":null,"topics":["flask","heroku","html","js","keras","machine-learning","python","tensorflow","webapp"],"latest_commit_sha":null,"homepage":"https://vivek3141.github.io/forest-fire-predictor/","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/vivek3141.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":"2018-11-17T19:48:22.000Z","updated_at":"2023-02-01T21:53:44.000Z","dependencies_parsed_at":null,"dependency_job_id":"eb243d62-0b0d-4c56-9ced-eeed11ab5b0b","html_url":"https://github.com/vivek3141/forest-fire-predictor","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vivek3141%2Fforest-fire-predictor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vivek3141%2Fforest-fire-predictor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vivek3141%2Fforest-fire-predictor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vivek3141%2Fforest-fire-predictor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vivek3141","download_url":"https://codeload.github.com/vivek3141/forest-fire-predictor/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243532517,"owners_count":20306151,"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":["flask","heroku","html","js","keras","machine-learning","python","tensorflow","webapp"],"created_at":"2024-10-25T15:42:57.732Z","updated_at":"2025-03-14T05:31:58.019Z","avatar_url":"https://github.com/vivek3141.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ccenter\u003e\n\n![Logo](https://raw.githubusercontent.com/vivek3141/forest-fire-predictor/master/img/logo.png)\n\n\u003c/center\u003e\n\n# Forest Fire Predictor\nThis webapp can be used to predict the amount of area burnt by a fire by selecting a point on a map.\n## Built Using\n* Flask API - hosted on Heroku\n* Keras with a Tensorflow backend for predicting - computed on the cloud and sklearn for pre-processing\n* JS and HTML for the websites\n* Openweathermap API for the weather data\n* Pandas, Numpy, Dill for csv reading, linear algebra and saving objects, respectively.\n* Integrated and hosted on GitHub Pages\n## How it works\n* When the user clicks the button on the web page, the Heroku API is sent the latitude and longitude\nof the place selected on the map.\n* The python script then fetches weather data from the openweathermap API.\n* This data is used to calculate the various Fire Weather Indices.\n* The FWIs and the raw data from the API are fed into the Deep Regression model which \noutputs  \n## Requirements\n* `keras`, `tensorflow`, `sklearn` for machine learning\n* `flask`, `flask-cors` for the API\n* `numpy` for linear algebra\n* `dill` for object saving\n* `pandas` for reading the training data in the form of `*.csv`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvivek3141%2Fforest-fire-predictor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvivek3141%2Fforest-fire-predictor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvivek3141%2Fforest-fire-predictor/lists"}