Master of Computer Applications (MCA): Recent submissions

  • FACE MASK DETECTION USING YOLOV5 
    Reshma, Mohan; Fousia, M Shamsudeen (2022-05)
    Global pandemic COVID-19 circumstances emerged in an epidemic of dangerous disease in all over the world. Masks play a crucial role in protecting the health of individuals against respiratory diseases, as is one of the ...
  • CCR PORTAL REVAMP AND DATA MIGRATION 
    Rahul, R; Natheera, Beevi M (2022-05)
    Control Room (CCR) for Air Quality Management Portal is the chief repository of All India’s air Quality data which is then used across administrative, scientific and policy domains. It is an Air Quality Management System ...
  • VIOLENCE DETECTION USING DEEP LEARNING TECHNIQUES 
    Rahna, Rasheed; Nadeera, Beevi S (2022-05)
    Violence recognition is challenging since recognition must be performed on videos acquired by a lot of surveillance cameras at any time or place. It should make reliable detections in real time and inform surveillance ...
  • INTRUSION DETECTION SYSTEM BASED ON MACHINE LEARNING 
    Priya, P R; Alshaina, S (2022-05)
    Intrusion Detection System is a software application to detect network intrusion. Network Intrusion Detection System(NIDS) needs to accurately identify malicious network attacks. Network intrusion using various machine ...
  • CLOUD INSIGHTS 
    Nithin, S V; Vaheetha, Salam (2022-05)
    CLOUD INSIGHTS, is a web platform that tracks and evaluates all of a company’s cloud resources. Although all platforms offer consumer monitoring, there is no way to keep track of several resources in one place. This ...
  • KL ONE IT: One stop platform for IT tickets 
    Malavika, Mahendran; Vaheetha, Salam (2022-05)
    Raising IT tickets and manually solving them by IT teams is a major problem and one of the most important concerns for many companies. KL One IT is a solution made to solve them. It is the one stop platform for KL(Knowledge ...
  • INTEGRATE CUCUMBER WITH SELENIUM WEBDRIVER FOR WEBSITE AUTOMATION 
    Jibin, Titus K; Natheera, Beevi M (2022-05)
    Nowadays there is an increased demand for both web and mobile apps. Software systems are getting more and more important for organizations and individuals alike and at the same time they are growing bigger and more ...
  • DETECTION OF LANDSLIDE USING MACHINE LEARNING 
    Jeevan, Vijay; Fousia, M Shamsudeen (2022-05)
    Landslides occur when large amounts of earth, rock, sand or mud flows swiftly down hill and mountain slopes.This project proposes a novel machine-learning method to identify the reason of landslides using global landslide ...
  • FINGER VEIN BIOMETRIC RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK 
    Gayathri, Chandralal; Natheera, Beevi M (2022-05)
    The use of human finger-vein traits for the purpose of automatic user recognition has gained a lot of attention in recent years. Current state-of-the-art techniques can provide relatively good performance, yet they are ...
  • KL ONBOARDING : PROJECT MANAGEMENT SYSTEM 
    Ganga, J; Vaheetha, Salam (2022-05)
    KL ONBOARDING is an app built to help internal stakeholders with the onboarding process of employees to the various projects and keep a track of it. Onboarding flows help streamline the onboarding experience for new ...
  • TOMATO LEAF DISEASE DETECTION USING DEEP LEARNING 
    Chaithra, K V; Vaheetha, Salam (2022-05)
    Automatic classification process in images has been used in many fields, especially agriculture and medical fields in recent years. Especially in our country, image processing studies are needed to improve agriculture ...
  • VEHICLE DETECTION USING DEEP LEARNING 
    Athul, R Ashok; Jasmin, M R (2022-05)
    The deep learning object detection algorithms have become one of the powerful tools for road vehicle detection in autonomous driving where vehicles are capable of sensing its environment and operating without human ...
  • EPILEPSY SEIZURE DETECTION USING EEG SIGNAL 
    Aswathy, R S; Jasmin, M R (2022-05)
    Epilepsy is one of the most common neurological diseases that affects millions of persons all over the world. The disease has always been of great importance in the biomedical field, due to the health risks it causes. ...
  • WEB AUTOMATION USING SELENIUM WITH CUCUMBER FRAMEWORK 
    Arya, Rajan; Natheera, Beevi M (2022-05)
    Automation testing is the application of tools and technology to testing software with the goal of reducing testing efforts, delivering capability faster and more affordably.Automation testing is a need of fast and ...
  • LOCATION BASED STUDENT MONITORING SYSTEM 
    Arya, Rajan; Fousia, M Shamsudeen (2022-05)
    Monitoring attendance plays a vital role in the field of education and the business field. In smart cities, the intelligent learning environment is an essential application scenario. Class attendance checking is an ...
  • Real-Time Facial Expression Detection Using Convolutional Neural Network 
    Anju, A; Nadeera Beevi, S (2022-05)
    This project involves identification of facial expressions that reveal human emotions can help com- puters to better assess the human state of mind, so as to provide a more customized interaction. We explore the ...
  • BRAIN TUMOR DETECTION USING DEEP LEARNING TECHNIQUES 
    Anjali, Anil; Jasmin, M R (2022-05)
    An automatic efficient system for brain tumor classification assists doctors in interpretation of medical images and supports decision of specialists in an early stages of tumor growth.Accurate and precise brain tumor ...
  • SMART ONLINE VOTING SYSTEM 
    Anila, S; Al-Shaina (2022-06)
    The SMART ONLINE VOTING SYSTEM was developed for a specific school. This project stores the candidate details, voters details, and etc. The voters in this project are the student of the school and in order for them to ...
  • A MACHINE LEARNING METHODOLOGY FOR DIAGNOSING CHRONIC KIDNEY DISEASE AND SEVERITY ANALYSIS 
    Adwaith, B S; Natheera Beevi, M (2022-05)
    Chronic kidney disease (CKD) is a global health issue with a high rate of death and morbidity, and it is a cause of other diseases. In the early stages of chronic kidney disease, there are no evident symptoms, therefore ...

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