Department of Computer Engineering
Permanent URI for this communityhttps://repository.cuilahore.edu.pk/handle/123456789/15
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Item The Discounts Bazaar(Library Information Services, COMSATS University, Lahore Campus, 2021) Muneeb Ahmad,; FA17-BSE-120; Abdul Karim Shahid, Assistant Profesor; lhr tp 7018Item Travelholic(Library Information Services, COMSATS University, Lahore Campus, 2021) Khawaja Asad Gohar; FA17-BSE-137; Muhammad Junaid Anjum, Assistant Profesor; LHR TP 7017Imagine you want to visit someplace in Pakistan, and you don’t know what’s the easiest and cheapest way to get there. You need proper guidance to have a great trip without any hurdles. For this you’ll need proper and reliable information about hotels and transport services. Also, you need to convince yourself that why you should visit that place. Well, this application is all about that. In this application we’ll provide the travel enthusiast users all the reliable information and guidance they need to know before visiting any place in Pakistan. Users can either plan their own trip or they can opt for any of the trips offered and organized by “Travelholic” for tourist across Pakistan.Item Developing a Speech Recognition System for the Urdu Language(Library Information Services, COMSATS University, Lahore Campus, 2021) Muhammad Ibtesam Arshad Hamza Safdar; FA17-BSE-061 FA17-BSE-013; Dr. Rao Muhammad Adeel Nawab, Assistant Profesor; LHR TP 7015Automatic Speech Recognition Systems (ASR) are used to convert the acoustic signals which are caught through the microphones into the sequence of words. The Automatic Speech Recognition Systems (ASR) empower the machines to react correctly, reliably, and effectively to human speech or voice and offer helpful and important services to the users. The interaction with computers or gadgets is faster, simpler, and easier, through voice or speech instead of typing through the keyboard or console, so the people will prefer Speech Recognition Systems. Speech Recognition Systems will facilitate the users in workplaces, in marketing, in banking, in health care, in language learning, and in the education field also. This project aims to design and the implementation a Speech Recognition System for the Urdu Language. In this first phase, we have collected data for the Urdu Language. To build a general Speech Recognizer, a huge amount of data is needed. In the second phase, we have implemented our System. In the final phase, we have trained and tested our Model. This model is Similar to Deep Speech 2 Models. The evaluation is carried out using Word Error Rate and Character Error Rate.Item BiDOO [Audio/Visual] (Bid It Now)(Library Information Services, COMSATS University, Lahore Campus, 2023) Muhammad Hammad Ejaz, Muhammad Awais; SP19-BSE 070, SP19-BSE 013As now day’s online market is booming rapidly, and more people are now preferring online shopping. But online auction and bidding is still an untapped business here in Pakistan. Other e commerce websites sell products (new and used) but their work model is composed of fixed prices, so our project is about an online auction and bidding site where people can bid for different products. The bidding process is pretty much like a conventional bidding process where products are listed for auction and people will bid for them or can buy out the product. The auction will be listed for 24 hours minimum or the time set by the bidder itself and after that, the highest bidder will get the product. The bidding process will be close bidding. One of the advantages of this site is that it can encompass every aspect of shopping even you can bid for a car, bike, collectibles, shoes, antique art, and so on. So BiDOO is the online web application-based platform where people can bid or buyout any product and get the best price out of it, and along with that any person can be a seller and sell the product to the highest bidder. The basic principle of all these bidding scenarios is demand and supply. The products having higher demand will automatically get the highest bid.Item Smart Attendance Management System(Library Information Services, COMSATS University, Lahore Campus, 2024) Masood, Ali; Haseeb, Muhammad; HUSSAIN, NASIR; FA18- BCS -204 , FA18- BCS -69 , FA18- BCS -163; Aamer Mehmood; LHR TP 7837Smart Attendance Management System is a management and attendance system for the students at the university by using advanced technology QR (Quick Response) Code. As we all know, the attendance system of our educational institution has already turned online, but for the precise system, we are introducing a newly based smart attendance system. This system will be able to manage the student's attendance. It will allow students to scan QR Code through their mobile device to mark their attendance without the hassle of waiting for their turn. This system will be precise and will take less turnaround time. It will also save trouble for teachers to go through each student list and mark attendance one by one. By using QR code, Students cannot cheat the system regarding their attendance. Smart Attendance Management System comes with a web application and mobile application. Both of these mediums will be mandatory for every student in the university. Once the student scans the QR code generated by their teacher, the attendance of the student will be marked, and all the data will be transferred into university database. Moreover, the system will manage student results and course workouts. This system will override the problems prevailing in the practicing manual attendance system. Moreover, this system is designed for a particular campus within the knowledge of the university in a smooth and effective manner with a proper check and balance system. This platform will be user-friendly, error free, reliable, secure, fast, and complete record system for both students and teachers as well as university organizations. In conclusion, the aim of this system is to generate a precise, fast smart attendance system with QR technology and a management system that helps both students and faculty of the university.Item Talashe Gumshuda Final Year Project(Library Information Services, COMSATS University, Lahore Campus, 2021) MUHAMMAD BILAL NASIR , SHERAZ JABBAR , RIMSHA SHOU,; SP17-BSE-145 , SP17-BSE-061 , SP17-BSE-121; Nadeem Ghafoor Chaudhry, Assistant Profesor; LHR TP 7149People lose their children and elderly and face a lot of difficulty in process of finding them as the police department works very slowly in Pakistan. It takes almost a complete day in police station to register a FIR and then it’s up to police whether they immediately start searching or not. But every minute counts for the victim’s family. According to a report 3090 children were reported missing in Karachi within a year. Similarly, in 2016 312 from Lahore alone and 652 children from all of Punjab went missing. Mostly the cases are reported to police but the search by the police runs at a snail’s pace. In order to speed up the process of searching of missing person we have developed an application which helps families to reunite with their lost ones as soon as possible. Through this platform people can help each other in parallel with the search that police should make.Item Sentiment Analysis on Current Government using Tweets(LHR TP 7032, 2021) Saman Azhar , Hamnna Ayemen , Areesha Ramzan,; FA17-BSE-036 , FA17-BSE-030 , FA17-BSE-062; M. Shahid Bhatti, Assistant Profesor; LHR TP 7022In the age of the internet, social media connects us all at the tip of our fingers. People are linked through different social media. The social network, Twitter, allows people to tweet their thoughts on any particular event or a specific political body, which provides us with a diverse range of political insights. This paper serves the purpose of (a) Natural Language Processing (NLP) of a multilingual dataset (Urdu, English, and Roman Urdu), (b) exploring machine learning solutions for sentiment analysis and training models, (c) collecting data on government from Twitter and applying sentiment analysis, and (d) providing a python library that classifies input texts as positive or negative. The training data contained tweets in three languages: English: 200000, Urdu: 200000, and Roman Urdu: 11099. Five different classification models are applied to determine sentiments, and eventually, the use of ensemble technique to move forward with the acquired results is explored. The Logistic Regression model performed best with an accuracy of 75%, followed by the Linear Support Vector classifier and the Stochastic Gradient Descent models, both having 74% accuracy. Lastly, the Multinomial Naïve Bayes and Complement Naïve Bayes models both had 73% accuracy.Item Thread-Based Health Portal(Library Information Services, COMSATS University, Lahore Campus, 2020) FA17-BCS -094, FA17-BCS-90, FA17-BCS-143; Saad Awais , Huzaifa Javaid, Affan Nadir; Farooq AhmedIt is a web-based app which allows users to register either as a doctor or a patient. Patients can then open threads in which they explain the problem they are facing along with their case history. A doctor from the concerned field will look into the threads mostly by applying location parameters so that the doctor will see the threads of only those patients that are near to them. After looking into the patients thread the doctors would offer their pitch.