Department of Computer Science
Permanent URI for this communityhttps://repository.cuilahore.edu.pk/handle/123456789/16
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Item Freight loader(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2023) Yasir Izhar (FA20-BSE-108); Abdul Sattar (FA20-BSE-024); Abdul QayyumThe logistics sector holds significant importance in both the development of businesses and the economic prosperity of Pakistan, as it has contributed 12.9% to the country's GDP in recent times. In an era of increasing global trade, the demand for effective and automated solutions for transporting goods has become more pronounced. We are developing a mobile application named as “Freight Loader”. Loader will be tailored to address the specific requirements and challenges of the local market by ensuring punctual deliveries of the right products to their designated recipients, all in optimal condition and at competitive rates. Through its Users-friendly and efficient approach to goods transportation, Loader has the potential to further elevate the logistics industry and make substantial contributions to the economic advancement of PakistanItem Culture Voyage(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) Umair Asad (FA20- BSE-086); Talha Iqbal (FA20- BSE-102); Muhammad Zain Amjad (FA20- BSE-088); Fareeha IftikharOur aim is to establish a global platform for cultural exchange, fostering the sharing and exploration of diverse cultures. Through the app, individuals worldwide can explore cultures that according to their interest and connect with communities related to different cultural backgrounds. To facilitate language barrier, users can use the feature to translate post description into English. By becoming a member of specific cultural communities, customers can examine a lot approximately that specific way of life. Our aim is to attach humans with unique backgrounds and traditions, help them apprehend every different tradition and smash down the barriers that preserve them apart. The Application consists of various functionalities, including consumer authentication and authorization via Firebase, user profile creation and management, the potential to create and manipulate posts, engage in put up discussions through remarks, express appreciation for posts and remarks through likes, follow or unfollow different customers, file irrelevant content material, make sure content moderation, offer electronic mail notifications, discover and cope with unsolicited mail, facilitate the creation of cultural groups, and offer textual content translation for diverse languages into EnglishItem Skin Disease Identification Project(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) Huzaifa Imran (FA20- BSE-008); Rafia Sajid (FA20- BSE-013); Mohammad Ibrahim (FA20- BSE-077); Prof Shahid BhattiThe Skin Disease Identification Project aims to develop an advanced system using Machine Learning to build a user-friendly prototype of a system that with a simple picture can identify skin diseases in machine learning. This will be taken from a cross platform mobile application identifying a variety of skin diseases with a wide range of conditions, including dermatitis, psoriasis, eczema, acne, and various infections. Diagnosis often requires a time-consuming process of visual examination, medical history review, and lab tests. The proposed system will utilize a vast dataset of dermatological approved and annotated images to train deep learning models that can effectively recognize and classify skin diseases based on color features and decomposed skin image and its melanin levels. The primary goal of this project is to enhance the accuracy or efficiency of skin disease diagnosis. By employing state-of-the-art image recognition and pattern analysis algorithms, the system will be able to rapidly process skin images and provide instant disease identification. This will serve as the basis for helping dermatologists with effective and instant diagnosis, therefore, saving time and reducing the delay in the diagnosis. The system will first identify the features of the images and then train the model based on it using various algorithms mentioned below which after a popular vote will determine the best match of the identification of the project. In conclusion, the Skin Disease Identification Project strives to revolutionize skin disease diagnosis through cutting-edge AI technology. By automating the identification process and providing instantaneous results, this project promises to be a valuable tool for dermatologists and serves as a prototype for more reliable feedback. Figure 1 illustrates the abstract idea.Item SoulSync: A Digital Therapist(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) Haris Ahsan (FA20-BSE-010); Shehryaar Sarfraz (FA20-BSE-038); Ameer Moavia (FA20-BSE-107); Zaheer Ahmad GondalIn the modern age, where mental health challenges are increasingly prevalent, there exists a pressing need for immediate, personalized, and effective therapeutic interventions. According to the World Health Organization, there is a global shortage of health workers trained in mental health.[1] Many mental health interventions do not reach those in need, with no access to these services. So that’s the reason this system introduces Mental Health Care Therapist designed to provide therapeutic support. Initially, the system will use an ML model based on which it will detect the personality of the User. It will be done using the personality classification dataset. After personality detection, a set of questions will identify the problem factor of the user by using personality test responses dataset. Such as Openness to Experience (Inventive/curious. consistent/cautious). Then by using another questionnaire we will identify the severity of the problem. Based on this severity the system will recommend the user if he need to urgently seek help from a psychologist else if the severity is below a certain level the system will provide the user a series of videos or different test that will help him with his/her problem such as depression and nervousness.Item Millers Vantage(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) Menahil Nadeem; FA20-BSE-106; Zeenat AfzalTraditional book-keeping of a flour mill is manual based. Manual accounting is prone to errors, such as miscalculations and data entry mistakes. Manual record management is time consuming especially when dealing with a large volume of transactions. Calculations, data entry, and reporting takes longer manually. It struggles to scale with business growth, leading to complexity and increased error risks. Accessing and sharing of data can be challenging. If a stake holder needs any information, they may have to physically go to the location where the records are kept. Available solutions for flour milling industry are outdated with complicated user interface, making it difficult for users to navigate, perform tasks, and achieve desired goals. While many available solutions offer customization options, some flour mills may find it challenging to tailor the software to their unique processes and this could lead to compromises in workflow efficiency. In contrast, Millers Vantage is an efficient, web-based financial management solution designed specifically for the flour milling industry, providing stakeholders with a user-friendly and cost-effective platform to elevate the business efficiency of the flour mill. Millers Vantage web application will be designed to address financial management challenges faced by flour mill to revolutionise the flourmill industry in Pakistan by providing an innovative and seamless integrated solution of diverse functionalities for flourmills to streamline their financials, which will eventually improve their business. Millers Vantage will automate crucial processes, saving time and increase efficiency. Calculations are automatic which will help minimize the likelihood of human errors, ensuring accuracy in calculations and data entry. Stake holders will be able to access and share the data. Millers Vantage will be easy to scale to accommodate the growth of the flour mill and it will be able to handle additional workload without increase in the manual effort. The solution not only saves valuable time but also enhances the reliability of financial and inventory records.Item Vehicle Accident Alert and Rescue Solution(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) Muhammad Arslan; SP20-BSE-031; Sana MaqboolTraffic accidents remain a major public safety problem worldwide, causing loss of life and property. To address this critical issue, the Vehicle Accident Alert and Rescue Solution (VAARS) has been introduced as a comprehensive solution aimed at improving accident detection, alerting authorities, and accelerating rescue operations. VAARS leverages the latest technologies, including sensors, wireless communications, and data analytics, to create a robust and efficient system. When an accident occurs, VAARS uses on-board sensors to detect impact forces, vehicle orientation, and other critical parameters. This data is then processed in real-time and, if an accident is confirmed, an alert is immediately sent to emergency services and nearby vehicles, informing them of the location and severity of the incident. Important information is provided. The system's advanced functions include automatic communication with the vehicle's occupants, allowing real-time assessment of their status and needs. VAARS uses advanced artificial intelligence algorithms to analyse accident data, providing emergency services with information about potential hazards and the resources necessary for successful rescue operations. VAARS is designed to work seamlessly with existing emergency response infrastructure, ensuring a rapid and coordinated response by paramedics, police, and firefighters. Additionally, it incorporates GPS tracking and mapping capabilities, helping rescue teams reach the accident site accurately and efficiently. This report summarizes the key components of vehicle crash warning and rescue systems, highlighting their potential to reduce response times, improve crash outcomes, and contribute to safer roads. VAARS stands as an important solution in the field of road safety, offering a promising way to reduce the impact of accidents on our society.Item IntelliLearn: An AI-driven learning hub(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) Ahmad Shahzad (SP20-BSE-023); Hasham Ahmad (SP20-BSE-007); Dr. Tariq UmerIn the modern world of evolving education, IntelliLearn emerges as the modern and groundbreaking solution specifically tailor made to end the monopoly of selling past papers and helping notes. The vision is attached to AI Based learning assistance platform seeking the betterment of students and helping them in learning process in a very user-friendly way with customizable and collaborative learning. The core of the Intellilearn is to empower the students with their self learning and optimize their learning curve in an efficient and economical manner. THe traditional ways of learning from past papers or books and highlighting keywords has been the backbone of our educational methods. IntelliLearn uses the power of OCR (Optical Character Recognition) and NLP (Natural Language Programming) model technologies used for highlighting keywords and Question Generation with the help of AI based on those keywords and keypoints. This will result in transcending the boundaries of conventional reading and demonopolize the selling of past papers. This will result in broadening the boundaries of conventional reading and demonopolize the selling of past papers. Key features of Intellilearn will be user friendly design and digitization, AI-driven content highlighting and question generation, collaborative learning environment and history tracking. A student will be able to track their learning progress and customize their study sessions with the personalized learning and history tracking feature. Intellilearn will adapt to individual learning styles and will offer personalization according to students to help with their educational needs. Traditional learning methodologies have several drawdowns, lesser and incomplete availability of information and relying too much on a single textbook and academic resources. "Intellilearn," an AI-powered learning support tool, addresses these challenges by providing solutions that help students succeed in their academic goalsItem Enrich Movies Data Using Large Language Models(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) MUHAMMAD BIN ARSHAD (FA20-BSE-072); AIMAN MIR (FA20-BSE-023); Asif Shahzad"Enrich Movies Data Using Large Language Models" is a project designed to serve as a comprehensive hub for all things related to movies. At its core, this platform will provide users with essential information about movies, encompassing details such as cast and director. It will also feature a collection of frequently asked questions about each film, ready for users to explore. Users will have the freedom to ask any movie-related question, and the system will respond with answers derived from a trained model, which has been fed on movie plots. Users can engage by posting reviews and rating movies, which will contribute to trending and discussed movie listings. The search functionality is powered by an advanced engine, Elastic Search, ensuring fast, accurate, and typo-tolerant results. The platform emphasizes user-friendliness, allowing users to sign in email accounts. It also supports multilingual interactions. Users can create and manage movie collections, customizing their organization for future reference.Item Social Swap(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) Muhammad Rohan (FA20-BSE-032); Fahad Asif (FA20-BSE-034); Akhzar NazirSocial Swap solves the problem of the users who have huge fan following on social media platforms but are not able to convert those followers into the customers. The platform will allow the users with the required followers to set up their stores to sell their services and products on the same platform without paying the large subscription amounts. The platform will also enable the buyers who live in the areas where there is a financial sanction or less options to make online payments, to make peer to peer payments [1] using the local payment methods. The social swap platform will be powered with AI/ML models such as face recognition and product comparing models.Item Drive Net(2024) Muhammad Zohaib (FA20-BSE-051); Hafiz Kunwar M. Ahmad (FA20-BSE-064); Muhammad Mehroz (FA20-BSE-071)Selling vehicles is not left behind in the digital era as technology is shaping the ways consumers want it. The website of the ‘DriveNet’ project aims to solve the problems of car sellers and buyers, which makes it remarkable. ‘DriveNet’ project is the trading site that enables the sellers to list their vehicles for sales and enable the buyers to have a view of the vehicles which they require and then contact the respective seller for the deal. DriveNet, using the Machine Learning approach, estimates the fair price of vehicles to provide the seller with superior values as well as the buyer to make informed decisons. It also aimed at creating a community of users with passion for cars or motorcycles as it is the case with many young people. The goals remain at 80% accuracy of the price prediction, the increase of the amount of users, 75% satisfaction rate, and a non-biased feedback system. No other investing application is as specialized in vehicles as DriveNet, which feature an easy-to-navigate GUI, ML vehicle price forecast, and a built-in community. The goal of the project is to facilitate selling cars, enhance the experience of the users, and enable people connected with cars to share their passion. The approach consists of requirement gathering phase, design phase, selection of technology stack, development phase, integration with community, machine learning and final phase of intense user testing phase. The overall design of the system is client/server with an object-oriented design paradigm.