Department of Computer Engineering
Permanent URI for this communityhttps://repository.cuilahore.edu.pk/handle/123456789/15
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Item Greenhouse Effect For Vegetable Profiling(Library Information Services, COMSATS University, Lahore Campus, 2019-06-19) Usama Gondal,; FA15-BSE-140; M. Junaid Anjum; LHR TP 5905This project is named “Greenhouse for vegetable profiling”. The android application has 4 buttons for 4 appliances (e.g. Fan, Mist Fan, cylinder and Bulb etc.). The android application is server based and any user from all over the world can do vegetable profiling through our application. The sensors will be connected with Wi-Fi and they take real time readings from internet for vegetable profiling like if potato is added into the application and the user clicks on the potato button then the android application takes readings form real-time and then maintain the ideal conditions for the potato profilingItem 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 Whatspad(Library Information Services, COMSATS University, Lahore Campus, 2021) Baber Ali, Aleena Hamid, Zoya Irfan; FA17-BSE 121, FA17-BSE 148 ,FA17-BSE 126; Humaira Afzal, Assistant Profesor; LHR TP 7014Nobody can deny the fact that the habit of reading and writing is one of the best qualities that a person can possess. Especially for students, as this can help them immensely to develop communication skills, Knowledge increment, stress relief, a boost of innovative ideas, etc. But not everyone can reach to read and write easily because of hurdles like money, portability, time, expert writing skills, etc. With the ever-growing percentage of digitization in the world, an online reading and writing platform would be the best solution for the above-mentioned problem. As die-heart readers, we personally face many hurdles when we want to access a particular book. The old system of publishing was manual or documented or not fully online and for reading, you needed to pay manually or digitally (for eBook). There were restrictions on having expert writing skills, getting your writing proofread before publishing, etc. So, it is the need of time to develop an online platform where readers and writers can be facilitated. We aim to reduce the hurdles that writers and readers face. For this project, we are hard at work to develop a web application that provides an online platform for both amateurs and established writers to publish new user-generated stories, which readers can enjoy and access across the globe.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 Easyway To Rent Property Online Final Year Project(Library Information Services, COMSATS University, Lahore Campus, 2015) Asad Zaheer ,Rana Fahad Bin Altaf; BCS-SP11-019 ,BCS-SP11-103; LHR TP 6930Property leasing, offering and purchasing is a diligent work for which you need to visit a ton of areas simply to discover a dream area for yourself and your family. It is likewise hard for executors to keep the information of all properties on paper and afterward looking for one particular property you have to experience all the registers for that reason. Easyway to lease property online is a platform that gives its clients a stage to collaborate with property executors and property holders. This site is intended to fulfil all the customers’ real estate needs, from purchasing property to offering property to leasing/ renting of property in Pakistan. This platform will be able to keep the database of different properties & executor's data. In the event of you looking to purchase, offer, lease, and contribute property this platform will be the better place to think forward. It’s tiring to call singular property operators, organize arrangement, discovering better time for appointments. This can be costly, time consuming, and the level of help you expect from intermediaries can disappoint you in the end. Keeping these problems and many more in mind we have created this fantastic platform online to save you time, money and get assistance in a very short period of time.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.