Final Year Projects (FYPs) - Undergraduates

Permanent URI for this collectionhttps://repository.cuilahore.edu.pk/handle/123456789/37

This collection archives the complete set of theses produced by students of the COMSATS University Islamabad, Lahore Campus.

Browse

Search Results

Now showing 1 - 10 of 621
  • Item
    Twitter Based Election Prediction and Analysis
    (Library Information Services, COMSATS University, Lahore Campus, 2019-06-25) Aysha Abid , Zainab Rajpoot,; FA15-BCS-019 , FA15-BCS-141; Zeeshan Gillani; LHR TP 5897
    Elections are conducted to find public opinion and people are entitled to choose their candidates by voting for them. Diverse channels, media gatherings, specialists, predict results as indicated by their own examination and information. Social media specially twitter has rich information that can be used to predict the outcome as well. For this situation, we are utilizing twitter information and data to predict election results. We would utilize distinctive information and data mining techniques to implement it.
  • Item
    Make MY Bouquet
    (Library Information Services, COMSATS University, Lahore Campus, 2017-05-31) M Sufyan Ali , Moazam Saleem,; SP15-BCS-099 , SP15-BCS-117; Ms Shaina Ashraf; LHR TP 5845
    The trend of online shopping has increased many folds quite rapidly in Pakistan. The country has witnessed a massive increase in e-commerce businesses in the past few years. Most of products are moved to online stores .People prefer to buy things by just having few clicks rather than going market and searching for desire product. We are motivated to capture this trend. Our project is online bouquet store with an extra feature of customize bouquet, where user can design his/her own bouquet by selecting flower options given on page. We will make sending fresh flowers easy, whether you want to send to a friend or a relative across the country. You can browse our website and order online or to place your order. User can create custom gift baskets for special occasions. User can get register simply adding his/her information, bouquets of different kinds will appear in options, selecting his/her bouquet he/she can select size of bouquet and customize the bouquet according his/her wish. After Selecting bouquet user can also add special gifts and can get customize gift basket according to wish. After that, user can also add special message with the bouquet. Last step will be sender’s address and delivery address and after that bill will appear on the screen.
  • Item
    Q-Studio High performance Computing Service to Simulate Quantum Computations
    (Library Information Services, COMSATS University, Lahore Campus, 2019-06-19) Waleed Naeem , Yousaf Chudhry,; FA15-BSE-145 , FA15-BSE-148; Dr Husanain CH; LHR TP 5848
    Quantum calculation will no longer be a distant dream. We are observing the birth of a technological revolution that will reform our society in which quantum computing is fundamental. A number of large companies, such as Google, IBM, Microsoft and D-Wave, are developing quantum computers. These companies motivate us to start a research project with our main goal of building a high performance platform to simulate quantum calculations. Q-Studio is a platform that will provide the service for the simulation of quantum calculations in classical computers. This will be done using high-speed quantum processing and quantum circuit simulations. If the project ends without a platform type implemented, this research will have a role of origin for future research directions as a baseline.
  • Item
    Food Buddy Meet Eat And Share
    (Library Information Services, COMSATS University, Lahore Campus, 2019-07-25) Ahmad Raza , Waheed Malik,; FA15-BSE-078 , FA15-BSE-144; Mr. Abdul Qayyum; LHR TP 5821
    Dining out has become a norm these days in a culturally diverse country as ours. But prices of commercially available food items always remain on the higher side which serve a big challenge to the public. The objective of our project is to provide an android application through which food seekers can find online food-buddies with whom they can share the price of the food. In a nutshell, the proposed application will make its users take advantage of food-pooling and help grow their social circle. The application is particularly aimed at students and those having low financial profile.
  • Item
    Learning of Perceptual Semantics in Cognitive Robots through Social Interaction
    (Library Information Services, COMSATS University, Lahore Campus, 2019-06-19) Muhammad Awais , Nouman Nasir , Saud Junaid,; SP15-BCS-145 , SP15-BCS-088 , SP15-BCS-005; Dr Wajahat Mahmood Qazi; LHR TP 5850
    There is a growing interest to develop cognitive virtual agents. In virtual environment, these agents are not only resembled to humans but also exhibit human-like behavior. Learning of these agents are quite different than the ways through which humans acquire knowledge [1]. Most agents collect data from users and the environment and then implements efficient algorithms on collected data to infer knowledge [2]. In this methodology, a model is trained and the trainer provides on-demand information to model through learning process. Trained model is used as a perceptual semantic capability of an agent. Machine learning differs from human learning because it requires an active social partner in learning environment. In virtual environment, an agent is able to interact with environmental objects and gather knowledge to differ between various objects. A trained model is able to simulate previously learned knowledge with current perspective [1]. For this purpose, a model is trained and used with middleware. Graph database is used to store semantics data with a set of training examples to infer cognition for knowledge representation. Whenever a robot will face an object, it will perform detection by perceiving it and recognition by semantic knowledge.
  • Item
    Integrated Transport System
    (Library Information Services, COMSATS University, Lahore Campus, 2019-06-19) Ahsan Waseem , Sarmad Javed Khan,; FA15-BCS-009 , FA15-BCS-114; Mr. Muhammad Adnan
    Nowadays, everything is automated and easy to be accessed through smartphones and personal computers. The developed countries have achieved a lot in this regard but Pakistan is still lagging a little behind. In Pakistan, there isn't any efficient online service that provides access to all means of available public transport. There are some apps/websites that provide such information but they cover only a single/specific type of transport service. Therefore, most of the times people don't know all the available suitable options of transport from a particular point to a destination and hence end up wasting their time and money. We decided to overcome this problem as much as we could and came up with a solution in the form of an integrated platform that will allow every user to explore their proper transport options with respect to their current location. This application will provide all the information about possible means of transport i.e. Buses, Railways and Airlines. User will be able to compare the fares and services of all transport services, view all the schedules and reserve/book seat(s) in the selected transport, without hassle. In addition, the user will also be able to track Real-time location of vehicles.
  • Item
    Vision Based Rehabilitation and Information System for Patients
    (Library Information Services, COMSATS University, Lahore Campus, 2019-06-19) Syyam Noor, Muhammad Hasham; FA15-BCS-127 , FA15-BCS-058; Dr. Allah Bux Sargano; LHR TP 5898
    The system is an action verification system for rehabilitation of patients with limited mobility. In this regard, a Kinect depth sensor is used to capture the image-sequences of patients for identification of different actions in real time during rehabilitation exercisers at home. The system is trained to make decisions whether the person is performing the rehabilitation exercises correctly or not, each exercise contain some passing parameters, and this is to ensure that all the exercises are done in a complete and perfect manner. A desktop based application is designed for user’s interaction. This application contains a list of exercises available, the user will have an option to choose any of them according to the need. Physiotherapists using this system at their clinics will be hugely benefitted with this, it will act as their personal application based assistant for mobility exercises. Especially, the report generation feature will help them in tracking the patient’s progress. The report can be generated at any given time while doing an exercise that will brief the user about the angles and distances between the joints and what is the ideal one. The main ambition behind making this rehabilitation system is to recover pre-injury stages in all phases of physical fitness. The equipment required by the system are economical ones to help those patients who genuinely need this system which everyone can set up at their own places. This would allow patients to perform the rehabilitation exercises in sitting position at their relaxing place while preventing patients from falling down during training. The proposed system is 100% real-time (gives results on run time), effective to vision-based action identification, and demands low-cost system requirement (hardware and software), which is affordable for almost everyone.
  • Item
    StockVest The Only PSX Stock Investment Guidance App You’ll Ever Need
    (Library Information Services, COMSATS University, Lahore Campus, 2021) SP17- BCS-054,SP17- BCS-111; Sharjeel Sattar Mugha, M. Musub Bin Omair; Dr. Hasanain Chaudary, Assistant Profesor; LHR TP 7127
    In modern times, everyone wants to start investing, as it’s wise to invest in current times to ensure a future where you’re financially secure. This is the same case regarding the stock market. People buy the stocks of companies when they either feel the company will rise and progress to a high level in the future or when they decide to buy stocks of companies that are already established and valued highly in the market. But of course, not everyone has the knowledge to invest wisely. For this reason, Machine Learning can be used to make predictions of the future closing prices of stocks. In the prediction of the stock market, the aim is to predict the future value of the financial stocks of a company. The recent trend in stock market prediction technologies is the use of machine learning which makes predictions based on the values of current stock market indices by training on their previous values. Machine learning itself employs different models to make prediction easier and authentic. This project focuses on the use of regression-based machine learning to predict stock values by taking the closing price as the target variable. 3 of 72
  • Item
    Construction Linkooze
    (Library Information Services, COMSATS University, Lahore Campus, 2021) Saad Munir; , FA17-BSE-025; Ms. Humaira Afzal, Assistant Profesor; LHR TP 7016
    With the time, the globalization and widespread of internet, people increasingly rely on online services to accomplish most of their tasks. One particular industry in Pakistan which still lack in digitalization is construction industry. As we know that urban construction sector is increasing rapidly. There are many emerging investors in this sector but with all these investments on a huge scale there are many problems arising day by day. The main problem is that there is no such digital platform that provides interaction between different parties. To find a labor is difficult now a days. We have online platforms like Food Delivery apps, Ride booking apps, Online Medical consultant’s apps etc. Just like that we want to develop an online platform to provide interaction between Contractors, Electricians, Plumbers, Carpenters and Customers.
  • Item
    TRY ON – The Augmented Reality Try Room Final Year
    (Library Information Services, COMSATS University, Lahore Campus, 2020) Aibak Shahzad , Muhammad Tayyab Hussain,; SP17-BSE-026 , SP17-BSE-008; : Aamer Mehmood, Assistant Profesor; LHR TP 7143
    Try On – AR Try Room is an augmented-reality fitting room solution that offers convenience to shoppers and customers. Customers can try on clothes virtually without the hassle of getting in and out of clothes. Retailers can gather crucial data about their customers' preferences and shopping behavior. In this app, we are going to have one mobile device in which we have different models of outfits which will be augmented on a human body. The real-world human body will be our target on which the outfit model will be applied by detecting the human body. And on the other side, we have an admin panel from where we can upload pictures of articles (front-side and the back-side), receives orders, and perform several admin activities. The pictures will then be uploaded and available on the customer side (on a mobile device). In short, this project enables users to try different outfits at home using their mobiles and saying ‘goodbye’ to fitting room waiting lines and then order the suit of their choices while on the other side, benefits the firm by increasing their sales.
2025 @ COMSATS University Islamabad, Lahore Campus. All rights reserved.