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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 |