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Haseeb Hassan

FAST · 2015 · i15 - 0531

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Phone

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GitHub

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Academic

Program

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CGPA

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Year

2015

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

Internet of Things (IoT), Embedded Devices, Android Application

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Smart Waste Management System Using IoT 
 
 This project aims to design and implement a Smart Waste Management System (SWMS) using IoT 
 which could be helpful in making our environment clean. Absence of such systems is a major cause 
 for deep-rooted filthy surroundings which ultimately give rise to many diseases and distorts the 
 aesthetic beauty of our environment. This project is providing an efficient system which will lead to 
 eradicate the overflowing garbage by helping municipal authorities. Smart Waste Management 
 System (SWMS) is based on low cost embedded devices that helps in monitoring the level of the 
 garbage and detection of harmful gases in the waste bins. A unique ID is assigned to every waste 
 bin in the city so to localize the waste bin which is full or empty. Concerned authorities can access 
 the detailed status of waste bins with the help of internet through an android application so that 
 immediate cleaning action can be taken. Pi camera has been installed which will prop up the 
 municipal authority by sending the picture of sanitary worker. 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Technology Used: 
 Internet of Things ( IoT ) 
 Supervisor Name: 
 Engr. Aamer Hafeez 
 Group Members:   
 Haseeb Hassan (i15 - 0531)

AI enrichment

Haseeb Hassan is a student who contributed to a Smart Waste Management System project utilizing IoT and embedded devices. The system involved monitoring waste levels, detecting harmful gases, and using an Android application for municipal authorities to manage bin status.

Skills (AI)

["Internet of Things (IoT)", "Embedded Systems", "Android Application Development", "Project Collaboration"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Engineering - 2020 (Final) (1).pdf
From job #20 page 89
Created: 1778170023