Hassan Khan

Academic

Verbatim text

OBD Sentinel: IoT-based Automobile OBD Monitoring System
This project endeavors to develop and implement an innovative IoT-based Automobile OBD
Monitoring System, poised to redefine vehicle maintenance and security standards. By
seamlessly collecting and transmitting OBD data to a cloud-based platform, it empowers
users with real-time insights into vehicle performance and security alerts. With escalating
concerns over vehicle maintenance costs and environmental impact, this system aims to
transform automotive management, ensuring proactive maintenance, cost efficiency, and
enhanced security for vehicle owners worldwide.
On Board Diagnostics (OBD): Ensuring optimal vehicle performance and safety, the
integration of OBD technology provides real-time diagnostics and monitoring. This enables
prompt detection and response to potential issues, preserving vehicle longevity and
mitigating risks. Automating diagnostic processes, including continuous monitoring and
feedback, enhances efficiency and effectiveness and maintains vehicle health.
Technology Used:
Esp32, C++, Arduino IDE, Blynk IoT, AWS
Supervisor Name:
Dr. Niaz Ahmed
Group Members:
Hassan Khan (20i-1013)
0334 7477733
hassank212@gmail.com
Rana Qasim Ali (20i-1911)
0312 6478757
alitheqasim@gmail.com
Muhammad Fahad Waqar (20i-2453)
0343 5709362
mfahadwaqar@gmail.com
Multi-Purpose Agriculture Autocart
Our innovative solution goes beyond traditional methods by introducing automated
agriculture cart systems, further minimizing risks and enhancing efficiency. By integrating
auto carts into our technology, we streamlines the processes of spraying and sowing in
fields, significantly reducing time and labor requirements. By integrating advanced
distribution systems, we ensure precise and controlled dispersal of seeds and fertilizers,
optimizing growth and yield.
Moreover, our commitment to sustainability extends to safeguarding the health of farmers
and consumers alike. We've implemented stringent measures to minimize exposure to
harmful carcinogens commonly found in pesticides, thereby mitigating potential health
risks and promoting a safer working environment. Through our comprehensive approach,
we aim not only to boost production but also to foster a healthier, more sustainable future
for agriculture.
Technology Used:
proteus, ardunio,    wireless
communication
Supervisor Name:
Dr. Awais Ayub
Group Members:
AbdurRehman Hafeez 19I-0861
Muhammad Usman Khan 19I-0901
Muhammad Zulkifal 19P-0189
Remote Fuel Monitoring System
Our project addresses the critical issue of fuel resource management at remote telecom
tower sites, where fuel theft leads to significant operational losses. We're developing a
Remote Fuel Monitoring System equipped with advanced sensors to measure parameters
like temperature, pressure, fuel levels, and burn rate. By transmitting real-time data to a
centralized web app via the Cloud, our system empowers operators to proactively manage
fuel usage, deter theft, and ensure uninterrupted service delivery.
This innovative solution not only enhances operational efficiency but also provides a
powerful deterrent against fuel theft. With its ability to monitor fuel levels, track usage, and
measure burn rate in real-time, our Remote Fuel Monitoring System offers increased
visibility and accountability, ultimately safeguarding fuel resources and minimizing losses at
remote telecom tower sites.
Technology Used:
Arduino, Firebase, MongoDB, React JS
Supervisor Name:
Dr. Aamer Hafeez
Group Members:
Jawad Babar (i19 - 0909)
Alyaan Liaqat (i20 - 2457)
Shahzeb Hussain (i20 - 2492)
SawariTech
IoT based Bike Management and Tracking System for the
Local Community
In the face of escalating urban challenges such as traffic congestion, increasing CO2
emissions, and parking woes, SawariTech emerges as a beacon of sustainable urban
mobility. Our platform is dedicated to promoting biking as a viable alternative to cars,
mitigating the adverse effects of urbanization on the environment and public health. With a
comprehensive suite of advanced features, including real-time bicycle tracking and robust
user authentication, SawariTech aims to revolutionize the way people commute in cities.
SwariTech’s primary objective is to alleviate the strain on urban infrastructure while
fostering a cultural shift towards greener, safer, and more livable urban environments. By
encouraging widespread adoption of cycling and integrating cutting-edge technologies,
SawariTech aspires to empower communities, reduce carbon footprint, and create a more
sustainable future for generations to come.
Technology Used:
STM32Cube IDE, Visual Studio
Environment for App development,
Google MAPs.
Supervisor Name:
Dr. Niaz Ahmed
Group Members:
Fatima Noor Gillani (i19 - 0884)
Iqra Sibtain (i20 - 2489)
Swarm Drone based Spraying System
This project aims to establish a swarm system between two drones coordinating together
via Master-Slave principle. The Master Drone performs the action of spraying on the desired
location coordinates et using GPS module in the mission planner. The Pixhawk controller is
used for flight which gets its online support from Mission Planner software. This drone
behaves as ‘leader’ and its GPS position is adjusted by set offset. The set offset points are
sent to the Slave drone which is ’follower’ and in guided mode. The set offset points are
sent to ‘follower’ through a series of dynamic waypoints. The ‘follower’ will follow the ‘leader’
at set X, Y and Z offset points that are added. The spraying will be done by Master Drone
through 12V DC pump control directly connected to 11.1V LiPo battery. The follower drone
will spray accordingly on the offset added points.
This product aims to provide beneficial usage to agricultural industry. Firstly, it will reduce
the labor work for farmers. The single drone cannot handle wide areas of land which makes
the project less efficient. Using more than one drone with master slave principle will allow
that second drone to spray in 3D as X, Y and Z offset points added. The irrigation will be
optimized as this product tends to save 30-40% pesticides and 40 time faster than manual
labor. The lay users are indeed to be farmers.
Technology Used:
Swarming Interface-Mission Planner,
SolidWorks.
Supervisor Name:
Dr. Niaz Ahmed
Group Members:
Muhammad Abdur Rehman (i19-0864)
Mateen Asghar (i19-0865)
Samyee Arif (i20-2462)

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