- Smart Irrigation System
- Water Resource Management
- Smart RFID Parking
- Intelligent Hearing Assistant
- RoboMan
- Weedbot
- Autonomous Vehicle
- Reverse Vending Machine
- Green Area App
- Traffic Management
- Citi-Pulse
- Rice Quality Analyzer
- Secure Application
- Face Check App
- Stereo Vision & ADAS
- Plant Disease Detection
- Internship Portal
- AI Kit for Kids
- AI Proctor
- Intelligent Third Umpire
- Visual Positioning System
- Predictive Analysis of Fetal Cardiovascular Disease using SMOTE (DICOM)
- Patient Monitoring System
- Radiological Diagnosis of Cerebral Tuberculosis
- User engagement prediction
Industrial automation through IoT
Robotics
Environmental Sustainability
Management System for Smart City Development
Agriculture
Application Development
Computer Vision, AI and ML Projects
Healthcare
Traffic Management System

- The main focus of the Smart City Lab, NCAI is to solve the problem of traffic congestion. It is one of the major problems faced by the citizens of Karachi and the real-time detection of road traffic congestion may be used
in traffic control systems. In order to provide the least congestion route to the emergency vehicles by implementation of the plan, the team has developed modules for vehicle detection, classification and number plate
detection. The congestion conditions depend on the type of roads such as single lane road or multi-lane road, heavily crowded road or less crowded road. The benefits of the Traffic Management System are reduction in
congestion, delays in collisions, less time to travel, least consumption of fuel and less transportation cost. Also, it leads to lesser road accidents in the future.
- Vehicle Detection and Classification
- Number Plate Detection
Citi Pulse

- The Smart City Lab, NCAI is planning to work on the Citi-Pulse Project to solve the issues of the society where focus of attention will be traffic management, waste management and crowd management. Major benefits include
improved journey times, improved air quality from reducing air pollution generated by slow-moving traffic, reduced delays to public transport, keeps the environment clean and fresh, waste management will help to earn
money by creating employment opportunities, traffic speed control and protection of historic and environmentally-sensitive areas. We will also deploy weather stations in different areas of the city. There will be a
mega portal that will show multiple types of maps. The data extracted from the maps, will help for visualization and analysis. It will help in notifying the drivers on roads whether to take that route or not like in
northern areas of Pakistan where weather takes unpredictable turns either in the form of heavy snowfall, land sliding or even rainfall throughout the year.
Visual Positioning System

Smart Irrigation System

Adopting the smart irrigation will be a best solution. This system monitors soil conditions and plant water use. By using this smart irrigation concept we can bring back the greenery which is going to be vanish because of the rapid urbanization. The system will help to get farmers good yield.
Secure Application

Our team has made a logo that different companies will include on the packing of their products. The secure app will scan the logo. This app is extremely beneficial for pharmaceutical companies, clothing brands and daily food products.
Face Check App
The Smart City Lab has successfully developed the module for face recognition. The lab has made a Face Check App. The use of this new technology will change the way we live making things more secured. This special feature will remove the traditional way of entering a password on the phone and bank accounts, marking attendance at office and detecting the stranger entering the building.
Stereo Vision & ADAS

Stereo Vision and ADAS ensure the well-being of drivers while in the autonomous vehicle. Both of these features are an innovation in the automobile industry. Smart City lab NCAI is looking for collaborators to add these features in the autonomous vehicle to make this project a reality.

AI Kit for Kids

AI Proctor
FAQs
1-does an AI Proctor detect cheating?
By recording proctoring data which includes video, ongoing activity and desktop screenshots of the students.
2-How does a remote AI proctor work?
AI Proctor remotely monitors the online sessions using face recognition technique and eye ball tracking.
What is the benefit for introducing AI Proctor service in Pakistan?
As it says, Necessity is the mother of invention so this service provides live monitoring and it will help not only in academics but also
in other work forums and this will give a boost to Pakistani economy in the AI field.
What will be the advantage of launching Remote AI proctor online service in
Pakistan?
If this service is launched in Pakistan then we do not need to buy a software from abroad as it is available locally.
Autonomous Vehicle
The Smart city lab, NCAI aims to lead the innovation in the automotive sector of Pakistan. We have proceeded to gather real-world data with the help of state-of-the-art cameras and equipment and have shared a glimpse of our data collection and analysis. The Autonomous Vehicle, as the name suggests, will be able to drive without human interaction; a situation most suitable for people not comfortable with driving, patients, and the elderly. AV also becomes a more preferable option in the long future due to its being less prone to accidents; frequently arising due to human error. In a nutshell, Smart City lab NCAI envisions making Pakistan technologically at par with the world with solutions unique to its dynamics.
Internship Portal

FAQs
1-What differentiates your internship portal with other portals providing the
same facility?
Our Internship Portal provides communication facilities according to interest and choice of an individual either in industrial sector or educational institutions.
Rice Quality Analyzer

FAQs
1-Rice Quality Analyzer will decrease human labour so don’t you think they can
lose their job
like this?
Yes, they can work on fields and learn some new skills.
2-How is it beneficial for the local Rice Quality seller?
It is equally beneficial for local sellers too as this software is not taking much time in evaluating the features
Reverse Vending Machine (RVM)

RVM helps in sustaining the environment by taking action against climatic changes nowadays. RVM also aims to sustain life on land and underneath the sea by decreasing plastic waste like PET bottles to a minimum. It educates the people on the damage caused by the irresponsible production of plastic waste. Moreover, the indigenous development of RVM lessens the burden on the economy; it instigates the production of RVM in Pakistan and is an innovation in the vending machine industry. RVM is one of the milestones in achieving the vision of a sustainable environment and city. Presently, Smart City lab NCAI has deployed the project in NED University and launched it at an event at IBA University. Smart City lab NCAI is looking for partners and collaborators to introduce new functions and rewards in the RVM.
Development of Neural Sensor Network to Strengthen Decision Support System for Water Resource Management Using AI & IoT

Green Space Detection and Trees Count Analysis of Pakistan Using Satellite Imagery and Deep Learning
The focus of this study is to gather satellite image data for Pakistan; then analyze and process it to recommend the right ratio of greenery. Green Area Detector is supposed to be a concept to fight Air Pollution, lack of plantation, and deforestation in any part of the world. It will be designed to generate information about the specified surroundings. Hence, the study aims to provide green and non-green parts in any part of the world with a percentage of the green area after analysis.
Intelligent Third Umpire Review Decision Using Artificial Intelligence

Smart RFID Parking
Are you one of those who think it is tough to organize and manage your stuff? Or who always remains in a hurry to reach somewhere meeting a deadline? So the team of Smart City lab NCAI brings an optimal solution to mimic the traffic congestion due to parking spaces that is 30% in urban areas. It allows the city to monitor and manage the parking areas 24/7. The drivers search parking spaces and waste around one million barrels of oil a day. It will decrease driving time, thus lowering the number of daily vehicle emissions. It can also generate targeted offers and promotions for citizens based on parking data.With Smart RFID parking, the search for parking spaces becomes affordable as less fuel is burned. With innovation in traffic analysis and parking space management infrastructure, time and fuel are saved in parking; the citizens can focus on their work and increase their productivity. Also, less fuel burned leads to less air pollution, thus contributing to the environmental sustainability in the cities. Currently, Smart City lab NCAI is seeking partners and collaborators whose goal is to innovate automation and provide solutions through AI while excelling economically.

Intelligent Hearing Assistant

- Do you know how blessed we are in terms of physical and mental health? Over 5% of the world's population suffers from hearing disabilities. Then why not pave the way for those who are in dire need of help? Smart City lab
NCAI brought a solution for the people suffering from hearing disability who require a tool for automated communication. Our Intelligent Hearing System potentially improves the quality of life by providing aid to hearing-loss
people by enabling them to communicate independently. It aims to promote education among the suffering people. It can be beneficial in different scenarios like ordering food in restaurants, as an interpreter between
various language speakers, and in offices. This system comprises a robot equipped with Artificial Intelligence and capable of speech recognition. It can be in the form of a miniature humanoid robot and wearable device.
The Intelligent hearing assistant is specially designed to look after and communicate with people suffering from hearing disabilities. It can also help in taking care of patients and senior citizens. This system can also be applied in educational settings for deaf children. The Smart City lab NCAI has indigenously developed this system in Pakistan; it is affordable and not a burden on the economy. Currently, Smart City lab NCAI is seeking partners and collaborators whose goal is to innovate automation and provide solutions through AI while excelling economically.
WeedBot
Cotton is a natural crop, and it is one of the world’s expanding textile industries. This industry yearly gives at least $600 billion worldwide. 60% of Pakistan's overseas earnings occupy the production of cotton products. Many types of pests and viruses attack cotton crops. These viruses are present mainly in the weeds. These weeds are found along the roads, water channels, and field banks. Weed management is very much important to save our cotton crops as well as the quality of the cotton crops. The research team of Smart City lab NCAI developed autonomous weed detection with the help of automatic remote-controlled cars to manage weeds. This vehicle is equipped with vision sensors and can achieve efficient weed management. An intelligent decision support system based on potential algorithms of AI and ML serves the purpose. The Pakistan Vision 2025 also focuses on adopting modern farming techniques and emphasizes training the farmers using new methods for cultivation at minimum investment cost. The weed bot guarantees good health and the well-being of different crops by removing weeds from them. Removing weeds involves engaging manual labor repeatedly and is prone to human errors. Deploying weed bots on farms assures a good harvest due to maintaining plant health, consequently leading to economic excellence. The weed bot opens the door for innovation in the agricultural industry. Presently, Smart City lab NCAI is developing this research-based project with collaboration from Germany.Plant Disease Detection

This app guarantees health and well-being of plants by accurate and timely detection of diseases. A rapid and automated test ensures a good harvest and, consequently, good economy. The accurate detection helps in flourishing the plant medicine industries in Pakistan and a responsible production and consumption of resources. This app can also be used by citizens in cities to take care of their plants and trees for a sustainable environment in the urban areas. The Smart City lab NCAI is seeking partnerships and collaborators to further develop this project.
Predictive Analysis of Fetal Cardiovascular Disease using SMOTE (DICOM)

This research based project ensures the good health and wellbeing of newborn babies or infants by accurate and timely diagnosis of cardiovascular disease in them. The system is indigenously developed and ensures economic growth and development in the medical equipment industry in Pakistan. Currently Smart City lab NCAI is seeking collaborators whose goal is to develop innovative solutions nationally.
Patient Monitoring System
The Smart City lab NCAI team designed an innovative, reliable and cost-efficient oxygen gas pressure monitoring device that is equipped with all the state of the art sensors required to monitor gas levels. It starts by vigilantly monitoring the oxygen gas levels in the cylinder or tank; it keeps collecting data and makes decisions accordingly. When the pressure of gas drops to a certain level, it triggers the system to send an alarm email or SMS so that the tank is refilled immediately. The device allows remotely monitoring the oxygen gas levels on a web platform thus the vendors can schedule the tank refill timings. With the help of hardware telemetry systems, the device is reconfigurable and can auto update itself whenever new updates are made available by the team, a phenomenon also called “Over-The-Air Programming”. Additionally, the IoT based device ensures personal, process and environmental safety by avoiding run outs and overspills. Finally, since this device is an IoT-based device, its a combination of hardware and software. Hardware involves designing and implementing the circuit as well as the body of the device.The system ensures good health and wellbeing of patients by accurate and timely diagnosis of Cerebral Tuberculosis. The system is indigenously developed and ensures economic growth and development in the medical equipment industry in Pakistan. Currently Smart City lab NCAI is seeking collaborators whose goal is to nationally develop innovative solutions.

Machine Learning and Sampling Techniques to Enhance Radiological Diagnosis of Cerebral Tuberculosis
Cerebral tuberculosis (TB) is one of the neurological manifestations of tuberculosis infections responsible for devastating sequelae and mortality. It is a challenge to diagnose as it mimics other infectious and neoplastic pathologies of the brain. There is a need for rapid and accurate diagnostic approaches, in order to prevent the dismal outcomes arising as a result of delayed or incorrect diagnosis. This paper aims to develop a classifier to diagnose cerebral TB using various radiological features present on MRI of the brain with the help of Machine Learning (ML). Cases of TB and non-TB conditions (including meningiomas, gliomas, fungal and bacterial brain infection) presented to Aga Khan University Hospital, Karachi, Pakistan, were included and divided into training and test datasets. Features were selected using correlation, and besides age and gender, included multiple radiological features recorded from MRI of the brain. After the application of Synthetic Minority Over-sampling Technique (SMOTE), SMOTE-Tomek Links, Edited Nearest Neighbor (ENN) SMOTE-ENN, and Adaptive Synthetic (ADASYN) techniques for balancing the datasets, classifier accuracy was tested using two models: logistic regression and random forest. Highest accuracy (90.9%) was achieved using logistic regression along with SMOTE+TOMEK with 95.4% Area under the Curve while obtaining a F1 score of 92.8%The system ensures good health and wellbeing of patients by accurate and timely diagnosis of Cerebral Tuberculosis. The system is indigenously developed and ensures economic growth and development in the medical equipment industry in Pakistan. Currently Smart City lab NCAI is seeking collaborators whose goal is to develop innovative solutions nationally.
User engagement prediction on social media platform using machine learning and deep learning
The communication gap in a professional setting often results in low productivity and less efficiency of an organization. In this modern era, people are more vocal and open about their opinions on social media than in a professional environment. In this research, psychiatrists along with the research team made a closed group on Facebook. This social media platform has been chosen due to its popularity among common people. Research has been carried out in this closed group where users’ behavior has been monitored concerning the specifically curated content. The behavior analysis has been categorized based on post-engagement and their future actions done by the user/employees. This research aims to determine the outreach of a specific type of Facebook post using different parameters through Deep Learning (DL) algorithms.This study aims to ensure the good mental health and well-being of employees in a workplace. By applying psychological techniques keeping the posted data in mind, the study concluded that the efficiency of employees increased and the work environment became much better. The results of this study are applicable in different industrial settings to increase the turnover and have satisfied employees. Currently, Smart City lab NCAI is seeking collaborators whose goal is to develop innovative solutions nationally.
RoboMan
RoboMan is a human-size 3d printed robot. Smart City Lab is part of the global team working on this project. The idea is to make a low cost humanoid robot development kit for researchers, students, and enthusiasts who intend to explore this field. Hardware like this easily costs about 3 million PKR, hence for an economy like Pakistan to excel in robotics and especially humanoid robotics becomes very difficult since many universities, companies, and research labs don't have the resources to afford this hardware.We have been working on this project for the past 5 months and so far have been able to work through the head and both arms of the robot. Currently, a team of engineers is working on this multi-disciplinary project's embedded and AI side.
