AI Powered Hybrid Mobile Application for Detection and Management of Litter Dumps Litter Go

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dc.contributor.author Maryam Ashfaq, 01-135201-037
dc.date.accessioned 2024-03-11T05:06:41Z
dc.date.available 2024-03-11T05:06:41Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/17051
dc.description Supervised by Mr. Muhammad Umar Khattak en_US
dc.description.abstract The LitterGo project addresses the global imperative of combating pollution and littering by focusing on Pakistan’s inadequate waste management infrastructure. The initiative aims to empower citizens to report large litter dumps in their neighborhoods via Flutter mobile app. Through image processing, the app detects these dumps, dispatches cleaning teams, and enables users to track the cleanup progress. The project seeks to encourage a cleaner environment, individual responsibility, and aligns with the Clean Pakistan initiative. LitterGo app endeavors to promote a cleaner, healthier environment and empower individuals to combat improper waste disposal practices. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS (IT);P-02158
dc.subject AI Powered Hybrid en_US
dc.subject Mobile Application en_US
dc.subject Management of Litter Dumps en_US
dc.title AI Powered Hybrid Mobile Application for Detection and Management of Litter Dumps Litter Go en_US
dc.type Project Reports en_US


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