Adaptive User Interfaces is an approach to carter different users according to their emotions.
For this project we use the user's facial features to predict the user's mood and then try to recommend an interface that would best suit his emotions.
Our project features include updating an interface of a website if its disturbing or challenging for the user to use with respect to the user's emotions and his age group.
We created a software that would automatically change/alter the interface of a website if the user is not satisfied with and face challenges while using the website. This change is implemented according to the user's mood. Our application detects the user's emotion through his facial expressions and modifies the interface of the website on the basis of color, font size etc according to the user's mood and requirements. As soon as the user's logs in on the website our detection model takes a pcture of his face in order to read the emotions and once the emotion is detected our system provides a suitable interface to the user which caters the user’s mood and his requirements ultimately satisfying the user with the website’s interface and retaining the user to use the website.
If a user feels sad while using the existing interface of a website then our solution provides him an update form of the interface with a yellow or an orange color theme since according to our research these colors associate with happiness and we want the user to be happy. Similarly if the user feels angry after using the existing interface what our solution does is it provides an improved interface with a blue or a green color theme since according to our research these colors associate with calmness and what we want is to calm our user if he feels angry with the existing interface of a website
“Food on the go” app allows users to scan QR code placed on every table of the food court and different floors and place order online to avoid the hassles of long queues and avoid going through the entire food court to decide what to order, hence save people’s time.
TextWiz is a desktop application that allows users to perform text analysis on their data to support them in areas of research or business by identifying and understanding key concepts, ideas, patterns and information.
Project Features Include:
- Import data/text using different file formats, web and social media
- Study word frequency, distributions and patterns.
- Find key words in context.
- Tag/annotate text.
- Sentiment Analysis
- Survey Analysis
- Social Network Analysis
- Explore connections between sources for insights and meaning.
- Visualizations include tables, graphs, word clouds and trees.
- Desktop Application
- Python Programming
- Text Mining and Analysis Concepts
- Software Development
- Project Management
MedAI Assistant is a web app designed to predict diseases using prebuilt machine learning models and explain the prediction of the model. This web app is meant to be integrated with hospital systems, and used by doctors to predict diseases and show what had the biggest effect on the prediction.
The environment has always been one of the most-neglected domains of our government. One of the reasons for making ShajarStats was having access to a web app that gives you instant stats on green-cover based on satellite-generated filters would mean that the users will be mindful of the fact that their district or city needs to have more tree-plantations. Numbers create a sense of urgency and motivate you to do something about the issue at hand quickly. What we foresee is that the users of this app would be more eager to bring about a green revolution - district wise, community-wise, and then eventually, country-wise.
Our web-app is a one-stop solution for environmentalists, students, researchers, and government organizations looking to work towards planned tree plantations. This could be particularly useful for the current governments ‘Billion Tree’ initiative.
"PikMe" is a mobile application for a carpooling service dedicated to IBA students in order to make travelling to and from IBA, convenient. We will have separate interfaces for passengers (users) and drivers, with an admin interface, to permit or discard a specific driver. Our app currently caters only the use of cars as the mode of transport.
The “Voyager” is a comparative platform based mobile application which helps people to find the best possible means of transport between two locations, among both short and long distances. The user is enabled to assess between a variety of options and then choose as per his/her criteria, whether its focused-on cost variation or any other basis like duration of the trip.
“Voyager” is a comparative platform-based application which helps people to find the best possible means of transport between two locations, among both short and long distances. The user is enabled to assess between a variety of options and then choose as per his/her criteria, whether its focused-on cost variation or any other basis like accommodation of the trip. The application should be free to download from either a mobile phone application store or similar services.
IZAK10 Corporation is financial services company which mainly deals in debt collection. One of their major concerns is organizing and monitoring their work; hundreds of customers are contacted daily with the workload distributed among several employees including admins, coordinators, field agents and tele callers. Many customers are contacted multiple times based on their responses. The aim of the customer outreach management system is thus to provide a monitoring and customer contact management system customized to the needs of IZAK10. It’ll basically allow for storing the customer data in central server with permissions-based access to users with different roles. Admins and supervisors can assign actions with custom forms to field agents and tele callers who’d record responses via browser or mobile client. This allows those with permissions to monitor the progress and responses in real time and react to them accordingly for maximizing recovery. The system includes two interfaces: browser client and an Android app.
The project goal is to make a van tracking application, which tracks the vans carrying students from home to schools and back. The proper tracking of vans and the notifications to parents on leaving and arrival of vans from home and school is another metric to ensure the monitoring of kids.
The project goal is to make a van tracking application, which tracks the vans carrying students from home to schools and back. The proper tracking of vans and the notifications to parents on leaving and arrival of vans from home and school is another metric to ensure the monitoring of kids.
'NTCP_Diamond' (although we have just named it "Diamond") - is an app we have tried building for project selection teams (to create and view projects based on four factors: Novelty, Technology, Complexity and Pace. These four categories have further types. Therefore, choosing particular types from these categories forms a four-sided shape we are referring to as "Diamond").
Project Mangers (with team members) will be using app for project management. Data (respondent's & project's profile) will be inserted in app. A project selection model (NTCP) will ask questions related to project selection. Project Team will then receive an interesting profile of the project inserted. A number of similar cases (previous projects) will be shown as well. The app will show the team what to take care of (recommendations), once the project is selected.
Our aim is to facilitate businesses in open data forecasting, aiding different sectors in predicting future population in Pakistan using the census data provided.
A smart bus transport application, which can make the transportation very easy and reliable for all the customers using it. This application will not be available to the general public but would be tailor made for the different organizations. It will enable the organization to make premium quality commutes at reliable times, cost-effective prices and along travel-courses across the city. Moreover, our application will not only provide efficient transport system to the organizations but will also enhance the security of all their employees using the application. The application will also improve the overall attendance of all the employees, will save a lot of capital invested in conventional bus/shuttle system currently adopted many organizations in Pakistan.
Demo available at: https://www.youtube.com/watch?v=h8JOaeBZxzY&t
Land pollution is one of the most concerning issues faced by humanity especially in low developed countries. Karachi produces up to 16,000 M/tons of domestic garbage only, and the daily disposal figures at landfill sites are between 7,000 and 8,000 tons. So where is the remaining trash?
Users can create or join in a clean-up mission. Ideally, they will pinpoint areas of potential cleaning like trash dumps and upload those on our Mission Map as candidate mission sites. These will be shown to other uses who can join them and follow the mission status. Once the mission progress starts, we will keep an interactive feed to make people know what is happening. And after all that’s done, they will be asked to rate their fellow comrades (and based on that and the difficulty of the task and other factors) we will then award them points which can be redeemed at our center.
Our USP’s are as follows:
• Building a social network of environmentalists
• Build a point system to reward our users
• Spread awareness of near-by cleaning drives
• Make it beneficial for the environment and our people.
• Provide a healthy and hygienic solution to this problem.
• Pickup recycle and reward.
By seeing a lack of proper waste management facilities, we realized that clearly something needed to be done. Clean-up drives prove that people are willing to participate, all they require is a little stimulus and a community to push then to action. Therefore, to bridge the gap and provide a platform to users who are willing to do good, we created a force of our very own TrashTroopers.
We plan to take this to newer heights, in the coming years of ‘Naya Pakistan’ when digitalization is here, troopers can ‘earn citizen points’ by cleaning their country. Imagine a world where all the kachra kundis have been cleaned up. We plan to make this entire process self-sustaining by giving out rewards and coupons to our troopers funded through NGO’s or money we make from recycling.
UNDP accelerator labs, Islamabad, offered us to incubate TrashTroopers as a startup and have committed to invest $5000 to our project.
Flutter, Firebase, Version Control, API engineering, Databases, Project Management, Teamwork
EFS is a complete ecommerce platform that will let its user grow and manage a business. Users can create and customize an online store which will be cloud-based giving its users the flexibility to access and run their business from anywhere with an internet connection. The main objective of EFS is to assist all the non-technical entrepreneurs with an opportunity to excel in implementing their business ideas with all the IT technicalities already handled out for them by EFS however allowing them to customize their platform if they want.
Blend is a digital learning platform that is faciliatted by the effective combination of different modes of delivery, models of teaching and styles of learning. It has aimed to combine particular forms of teaching with technology in order to provide a one-top solution to the haphazard lives of students. The basic idea is to cater the class room problems faced by both, students and intructors.
BLEND is designed to cater a student by enabling him to keep his lecture notes aligned synchronously with a built-in feature of intra-course note-sharing while maintaining all his exam preparation material. Thus, providing a collaborative learning space to both. A collaborative workspace where you can not only add and edit notes but also brainstorm and review ideas.
The major objectives behind adoption of Blend is to boost students’ involvement with the subject by engaging students in discussion forums and hence make the subject as interactive and dynamic as possible, which would further help students to envelop their communication skills.
A VR/AR based learning platform for students to experience education in a 3-dimensional environment.A conceptual basis for educational applications of virtual reality can be following:
• Immersive VR furnishes first-person non-symbolic experiences that are specifically designed to help students learn better.
• These experiences cannot be obtained in any other way in formal education.
• This kind of experience makes up the bulk of our daily interaction with the world, though schools tend to promote third-person symbolic experiences.
• Constructivism provides the best theory on which to develop educational applications of VR.
• The convergence of theories of knowledge construction with VR technology allows learning to be enhanced by the manipulation of the relative size of objects in virtual worlds, by the transduction of otherwise imperceptible sources and by the visualization of abstract ideas that have so far defied representation.
We are creating an environment of virtual reality to better the traditional means of providing education by allowing students to learn in an immersive and 3D learning environment.
StudyShack is an Online Tuition Finder. Which is a location based application bridging the gap between student and teachers.
This project is an Online Tuition Finder, which uses location from google maps. With the help of this application, one can find the desired tuition, ONE TAP AWAY!
The expectations from the StudyShack is to bridge the gap between teacher and students. With the help of the StudyShack, students can find reliable teachers sitting at their home and teachers can find tuitions nearby to their home.
An embedded system that’s is intended to provide rural medical care. The basic objective of making such a system is to facilitate patients who sometime lack in getting proper medical attention when it comes to their whereabouts from remote areas.
Road accidents are suspected to be a primary concern nowadays and the key cause is the fatigue level of the driver.The system will track driver’s facial features like fast blinking, eye closures, head poses and yawning. We will try to achieve accuracy during the day, at night and under illuminated conditions through night vision camera.
Classifiers like Haar Cascade Classifiers or HOG + linear SVM will be chosen depending on their accuracy and shortest time of computation. EAR (eye aspect ratio) and facial expressions will be used to sense the tiredness of the car driver which will stimulate the system to ring alarms and send warnings consequently. The technical facets of the project will rely on OpenCV and python for facial recognition with Raspberry pi for hardware port connections.
The project “Driver’s Fatigue Level Detection System (DFLD)” was designed and developed to easily facilitate, monitor and help detect when a driver may be exhibiting diminished. Our system keeps an eye on the driver’s behaviour to identify any signs that the driver is losing concentration to the point where safety is being compromised. Our rationale was to create a system in a way to avoid accidents risks which are caused due to long hours, shift work, lack of sleep or sleep apnoea that may exhaust the driver and cause him/her to sleep while driving. Our aim was to make our system efficient and less costly.
The expectation from our project was to reduce road accidents caused by fatigueness, , especially the ones at night when the drivers are very sleepy and have to go for long deliveries. We believed that it would help save people’s lives. With this system , drivers could get a buzzer alarm as a warning to wake up incase they’re about to fall asleep. As a conclusion we could say that we were able to implement all of the aspects which include head tilts, yawns and eye closures. Also we were able to integrate a night vision camera. We had also planned on introducing a water spray to sprinkle water if the system detects eye closures, however after taking feedback from FYP-1 , we planned not to do that because it would have caused an accident if the driver spent time rubbing his eyes which had water, especially the ones who had to clean their glasses if they wore spectacles.
With the aim to make day to day tasks easier and accomplishable for the visually challenged individuals, Blind Sight is an android application that targets to be available to all kinds of users that need it.
A mobile application built using Image Processing and Artificial Intelligence to make daily tasks easier for visually challenged people.
In today’s world where technology is evolving at an extremely fast rate, it has made a large amount of our daily tasks easy for us. Technology has impacted not only our corporate and professional lives but our daily lives as well. From simple and complex task management tools to Ecommerce shopping platforms, we see technology everywhere.
We believe that while technology has impacted a wide variety of users and people positively, its major impact should be towards the group of people who are challenged physically, mentally or emotionally.
Hence we decided to work on a product that solves the daily problems faced by visually challenged individuals. Our product is an android application that is targeted to be available to a wide range of visually challenged individuals regardless of their social status.
A deep learning solution to better diagnose oral disease, to help a dentist make more accurate and faster diagnosis.
Radiographs in dentistry can help dental practitioners diagnose a number of oral and maxillofacial diseases and prescribe appropriate treatments and interventions based on that diagnosis. However, radiographs are also often difficult to read and present a number of challenges to dentists and diagnosticians when determining abnormalities.
Our project aims to use Deep Learning techniques with Convolutional Neural Networks to build classifiers that can accurately detect certain oral and maxillofacial diseases. The diseases include caries, cysts and tumors as well as diagnosing incorrect root canal treatments. We will also apply various other image processing steps to annotate the test OPG with teeth numbering, gender detection etc
This project explores the intersection between Security and Data Science. The objective is to improve the current implementation of Intrusion Detection Systems (IDS) and make them “intelligent.” By using the power of data, insights gained from network traffic, machine learning algorithms would enable IDSs to catch new and unknown attacks without any previous knowledge, to flag malicious activity when it sees it, all without the use of human intervention.
Campus Assistant(CampA) is a campus solution aims to provide features to facilitate daily campus activities, event marketing, news feed, calendar and indoor and outdoor maps to find venues.
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