Department of Computer Science
Permanent URI for this communityhttps://repository.cuilahore.edu.pk/handle/123456789/16
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Item AQI Predictor(Library Information Services, COMSATS University Islamabad, Lahore Campus., 2020-11-20) Waqas Ahmad; FA16-BCS-047; Dr Usama Ijaz Bajwa; LHR TP 6129Our project, AQI Predictor, is an application to predict the quality of Air aka Air Quality Index (AQI) Level using images. The user can input the images by capturing directly from the smartphone’s camera or already captured ones from the gallery. The app uses a trained model that’s hosted on local server at the backend. The trained model is a Convolutional Neural Network that uses machine learning techniques to help us in predicting the Air Quality level (AQL) correctly. The model is trained on a relevant dataset in order to achieve the accuracy. Along with the app, a website will be created that will be synchronized with the app and the data will be collected. The data then will be used to generate a map of the areas the Air quality level has been calculated for. This will help people in deciding which areas have what kind of air quality. The quality of air will be predicted by the application providing us Air Quality Level which will further tell us more details such as if the air is harmful or good and how necessary precautions can be taken. These factors and results will help us and the authorities including the Government and relevant governmental and other bodies decide certain measures to make the air quality better.Item Pothole Detection using an Android Application(Library Information Services, COMSATS University Islamabad, Lahore Campus., 2020-11-20) Hamza Tanveer; SP16-BCS-010; Dr Usama Ijaz Bajwa; LHR TP 6279Potholes and bad road conditions are some concerning issues, which we have been dealing with nowadays. The main issue arises when the authorities have to spend a lot of time detecting where exactly the pothole is. To solve this issue, we will be developing an application that will not only detect the pothole but also pin the location on the map. This application can also be used by high speed drivers, to suggest them, when to change the lane on highways or on city roads as there is a pothole ahead, to avoid road accidents and damaged vehicles.Item LIVE BUS(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2021) Muhammad Faran Ayyaz , Tehreem Anjum; SP17-BCS-088 , SP17-BCS-091; Dr Usama Ijaz Bajwa; LHR TP 7159We believe that our main goal should be an idea that solves a real-world problem to reduce the headache of a common man. As the use of technology has been growing day by day, the present generation needs information from time to time. So, with the combination of the present technology accompanied by the necessity of information transmission, we targeted the creative approach of “Vehicle Tracking System utilizing GPS”. Being university students, all of us face a lot of problems while traveling on university buses. Consequently, it was decided to deliver a better transport system that provides ease for students to book their ride at home to get rid of the traditional transport system. All the end-user problems (Students & Transport section) were taken into consideration to make this system more suitable and easier for everyone to use. Our ultimate goal was to deploy an efficiently resourced app for the universities in the first place that will work as part of the real-time bus monitoring system. Users need Internet-accessible devices to view the information as the system is built on the internet. The aim was to solve issues of reducing postponement, waiting time for students, contact between drivers and students. The prototype development model is chosen for the project. The framework designed and built up in this project is not module independently all components must incorporate to turn into a working framework. The system can provide a more reliable bus real-time position after the integration of all modules. Admin can operate admin panel using web application that is implemented on react while students and drivers can use mobile application that is implemented in react native.Item Charades(Library Information Services, COMSATS University Islamabad, Lahore Campus., 2020-11-20) Ramsha Rasheed; FA16-BCS-127; Dr Usama Ijaz Bajwa; LHR TP 6118As stated by World Health Organization(WHO), it is estimated that over 466 million people around the globe that are suffering from hearing loss that is disabling. [1]. In those 466 million people some are completely deaf that basically have little or no functional sense of hearing at all and the other are called “hard of hearing” who have mild-to-moderate hearing loss. Deaf people practice sign language to communicate whereas the hard of hearing can use sign language and spoken language with aid too. Deaf communicate in sign language as their first language. Abled people perhaps have little or no knowledge of sign language at all. Deaf people have difficulty in correspondence on a daily basis. A sign language interpreter may be used. But a sign language interpreter is expensive to have accessible all the time, and it becomes inconvenient too. A solution to this problem is needed, that is economical and easy to use. Hence, our final year project proposes a solution to this problem that is easy to use and have too. The solution wished-for being an android application works both ways. First as a listener i.e. it detects the signs performed by the deaf person using Smart phone/tablets camera or a device such as Kinect and translate them to native spoken language in form of text on an android tablet/Smart Phones screen. Secondly as a speaker i.e. it takes the text in natively spoken language typed by the abled person through the keyboard and converts it into a series of signs which are implemented on a 3D avatar on the screen of the Smart phone/ tablet.