Browsing by Author "Momina Shaheen"

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Building An AI Restaurant Chatbot
(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2021) Muhammad Shahbaz , Bilal Ahmad; FA16-BCS-021 , FA16-BCS-156; Momina Shaheen; LHR TP 7161
Restaurants are facing a lot of problems in the customer service and in ordering food. Chatbot are the alternative for the human base customer service the great thing that they are available 24/7. For human it’s not easy to be available for 24hours and other thing he/she cannot handle multiple people at the same time due to lot of resource are waste. These AI based Chatbot can handle multiple queries at the same time. There are two types of the Chatbot one is button based and other is AI based (work with NLP). We have created an AI bot which is integrated with Facebook messenger. We use conversational and linear flow in our bot. Our Chatbot is training itself on user inputs to provide appropriate responses. Our Chatbot also has the option to let the client (user) to make a query using the provided buttons or by composing a text based query. This bot help in reserving table, food order. This Chatbot application is supporting two languages, one is English and other is Roman Urdu.
Farmer and traders virtual market
(Library Information Services, COMSATS University Islamabad, Lahore Campus., 2020-11-20) Mahboob ullah; FA16-BCS-424; Momina Shaheen; LHR TP 6162
Before the advent of internet, farmers had to face difficulty in selling their produces. Moreover, it was challenging for them to enhance their farming business throughout the country in order to find good dealers. However, things have been made easier now as farmers can find dealers in order to sell their produces with just few clicks through our platform. The main objective of creating such a platform is creativity and innovation in Afghanistan. Through our bidding Website and Progressive Web Application, buyers also won’t face trouble in finding the best products as they would bid simply and the products would be sold to the best deal. Additionally, the presence of such platform in Afghanistan lacks so we find this a great opportunity to show our presence.
Find A Plant
(Library Information Services, CUI Lahore, 2021) Bilal Mehmood; LHR TP 7494; FA17-BCS- 113; Momina Shaheen
With the increasing CO2 emission per capita and poor AQI (air quality index) the need for plantation is rising rapidly. Currently the government is taking steps to promote plantations but there is no smart online platform that provides access to plants that grow well according to a certain environment. This online platform will promote plantation by providing easy access to the users to buy plants online and to the nurseries to sell their plant and garden items online.
My Wakeel: A Cross-Platform Software Application
(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2021) Muhammad Anwar Ul Mustafa , Samreen Asif; FA17-BSE-129 , FA17-BSE-055; Momina Shaheen; LHR TP 7042
This document describes that legal consultation and dealing efficiently with specific cases is an everyday need of all the individuals of the society. Aim is then hiring a lawyer in places which are strange to some people or those who can’t leave their comfort zones being at remote locations. Online systems for the subject need are not present in our country yet. There are some web platforms working for the related field of justice system and legal services. But they don’t provide the handy solution for hiring lawyers specifically. The project being proposed in this document is a cross platform software application that will allow both lawyers and clients to benefit from. Online consultancy is already being recognized in the legal services sector but not yet specifically from pin location with implementation of strong machine algorithms. There is a solid requirement for an app to deal with the current situation. In this proposal, the theoretical plan is elaborated what the app is supposed to do and the limitations. The plan objective is to fulfil the standards of legal consultancy and dealings of lawyers’ business. This software application will be implemented and deployed as Android, IOS and web applications. Future work can be done in order to improve the services and the system itself.
Online Testing system
(Library Information Services, COMSATS University Islamabad, Lahore Campus., 2020-11-20) Muhammad Danish; SP16-BCS-196; Momina Shaheen; LHR TP 6213
We can develop the online examination system. In the online examination system candidate get their user ID and password with his/her ID. The ID information is already saved in the examination server. When the candidate login to the server he/she get his/her profile which is already registered. On the specific time candidate receive the message to start the examination. All the answers given by the candidate are saved into the server with his/her profile information. This system also allows to correct the answers if the candidate wants to change the answer during the examination time. After the examination time changes will not be allowed. This is a more accurate way then conducting it manually. We can conduct many types of tests like entry test, skill test, IQ test, Subject test and job test with the help of this system.
Skin Lesion Prediction for Skin Cancer Diagnosis Using ML Techniques
(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2021) Ahsan Ali , Awaiz Hassan; SP16-BCS-172 , FA16-BCS-114; Momina Shaheen; LHR TP 7165
Skin cancer (Malignant melanoma) is most rapidly growing cancer worldwide. Malignant melanoma is developed from pigment containing cells known as melanomas (melanocytes), normally appear on the skin but there is a very rare chance that it effects eyes and mouth. The diagnosis starts with medical screening, a biopsy and histopathological examination. Clinically, it is very difficult to diagnose in early stages. Skin color is important feature for diagnosing malignant melanoma. Unfortunately, it is very difficult for physicians to diagnose skin cancer accurately and to differentiate between different skin cancer patients. Our research project focuses on early diagnosing of malignant melanoma. For this purpose, we will input the data set in different machine learning algorithms (Artificial Neural networks). Image processing and computer vision will be used for extracting comparable color features from selected skin lesion images. Best features will be analyzed and determined by doing complete statistical analysis which will help to classify skin lesions more accurately.
VSLDR (Vehicle Security and Drowsiness Recognition)
(Library Information Services, COMSATS University Islamabad, Lahore Campus., 2021-11-20) Zubair Ahmad; FA17-BCS-106; Momina Shaheen
A vehicle is generally the most costly and significant resource close to a home, so this framework empowers you to keep this advantage readily available by utilizing remote innovation. Consider it a remote rope to your vehicle. In today’s world vehicles form a significant asset to us, without which our life would be divided. Concerning the security of our vehicles, we are incredibly helpless. It is of an inconceivable concern, particularly in metropolitan urban areas, where these occurrences happen each day. So, we have zeroed in on the security of vehicles and drowsiness identification. As of late, the misfortunes of vehicle crashes achieved by driving vehicles have been consistently expanding. In particular, there are more serious wounds and passing than minor injuries, and the mischief as a result of huge disasters is growing. In particular, generous cargo trucks and quick vehicle accidents that occur during driving at the night have created authentic social issues. The arrangement comprises a blend of software and hardware. This entire framework will permit you to associate with your vehicle whenever, anyplace, and confirm its security.