PG Thesis: Recent submissions

  • FIRE DETECTION IN VIDEO SURVEILLANCE APPLICATIONS 
    Reshma, Krishnan; Vaheetha, Salam (2022-07)
    Fire is one among the most frequently occurring hazards and is the primary cause of disastrous individual injury and crushing property harm. Hence a framework for the early recognition of fire is important to keep fires ...
  • YOGA POSE DETECTION AND CORRECTION 
    Rasika, V V; Natheera Beevi, M (2022-07)
    Today, many people practise yoga on a regular basis. Yoga pose identification uses technology to assist with exercises and sports. Self-learning is a crucial component of yoga, however poor posture while practising yoga ...
  • A comprehensive methodology for detecting stress and performance of students using machine learning 
    ASWIN, PRABHAKARAN; FOUSIA M, SHAMSUDEEN (2022-07)
    Nowadays, there is a big problem with mental stress, especially in young people. The time period that was formerly thought to be the most carefree is currently under a lot of stress. Today’s increased stress causes a ...
  • ML BASED PLANT LEAF DISEASE PREDICTION 
    ARUN V, DAS; ALSHAINA, S (2022-07)
    Agriculture is one among the major sectors of the Indian economy. As we know farmers detect plant disease through their naked eye. But it requires more efforts to discover in large number of plants and also it is time ...
  • UPTIME - ”No Time for Downtime” 
    Arjun V, Pankajakshan; Vaheetha, Salam (2022-07)
    UPTIME - ”No Time for Downtime”, is a multi-tenant smart ticketing system that receives anomalies as events from self-diagnosable critical systems of multiple OEM’s which then creates tickets and assigns a support engineer ...
  • Video-based Action Recognition Using Deep Learning 
    ANUSHREE; JASMIN, M. R (2022-07)
    One of the key detection methods that offers benefits in a variety of fields, including video surveillance, video captioning, security, content censorship, and military applications, is human action recognition. The main ...
  • TRIGGER PUBLISHER 
    Ananya, B; Vaheetha, Salam (2022-07)
    When a service in an event-driven architecture completes a task that other services might find interesting, that it creates an event, which serves as a record of the action that was completed. Other services use such ...
  • MALWARE DETECTION USING MACHINE LEARNING 
    ANANTHAPADMANABHAN, S; Alshaina, S (2022-07)
    Malware is any programme that is intended to cause harm to other software or hardware. The growth of malware poses a grave threat to cyber security. Malware can result in sluggish computation, frequent system crashes, ...
  • EVENTPUB 
    Amjiyad Ahsan, K S; Vaheetha, Salam (2022-07)
    In event-driven architecture, when a service performs a task that other services may be interested in, it generates an event, which is a record of the action. These events are consumed by other services so that they can ...
  • MDS OPERATIONS 
    Nidhi, Raj; Fousia M, Shamsudeen (2022-07)
    MDS OPERATIONS, Applications nowadays are highly data driven. The project is about understanding how the Market Data unit operates for providing seem less and error free data for trading platform .The primary goal of MDS ...
  • AN EMBRACIVE STUDY OF IMAGE CAPTION GENERATION USING PRE-TRAINED NEURAL NETWORKS 
    NANDANA, ANIL; JASMIN, M R (2022-07)
    It's a difficult task to automatically generate natural language descriptions of an image's content. Though, unlike humans, it does not come readily to machines. However, implementing this capability would surely alter ...
  • AI VIRTUAL MOUSE 
    JOMIN K, MATHEW; NADERA BEEVI, S (2022-07)
    The mouse is one of the wonderful inventions of Human-Computer Interaction (HCI) technology. Currently, wireless mouse or a Bluetooth mouse still uses devices and is not free of devices completely since it uses a battery ...
  • FORENSIC FACE SKETCH CONSTRUCTION AND RECOGNITION 
    BLESSY P, ROY; T A SHAHUL, HAMEED (2022-07)
    The overall crime rate is rising daily in the modern day, and in order to keep up, law enforcement agencies must also discover ways to streamline investigations and aid in bringing offenders to justice. Utilizing face ...
  • EVENT PLATFORM 
    Amal, S; Vaheetha, Salam (2022-07)
    In an event-driven architecture, when a service performs a task that may be of interest to other services, that service generates an event, a record of the action performed. Other services use these events so that they ...
  • PORTAL FOR REGULATION OF AIR POLLUTION IN NON-ATTAINMENT CITIES (PRANA) 
    Amal Bhas, P; Vaheetha, Salam (2022-07)
    Portal for Regulation of Air-pollution in Non-Attainment cities (PRANA), is a portal for monitoring of implementation of National Clean Air Programme (NCAP). It will assist in tracking the financial and physical status ...
  • Audit Lens 
    Agna, Antony; Vaheetha, Salam (2022-07)
    The term ”audit” typically refers to an examination of financial statements. A financial audit is an independent review and assessment of an organization’s financial statements to ensure that they fairly and accurately ...
  • DECENTRALIZED CRYPTO EXCHANGE 
    Abhilash, John; Natheera Beevi, M (2022-07)
    A Decentralized Crypto Exchange is a place where people can go to trade cryptocurrencies without an intermediary. A DEX, lets people trade directly from their crypto wallets. The exchange doesn’t take control of their ...
  • FAKE PROFILE DETECTION ON SOCIAL NETWORKING WEBSITES 
    Rajeesh, Raj; Nadera, Beevi S (2022-05)
    In today’s digital age, the ever-increasing dependency on computer technology has left the average citizen vulnerable to crime such as data breaches and possible identity theft. These breaches or crime often target social ...
  • CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING APPROACH 
    Badarnisa; Jasmin, M R (2022-05)
    Payment cards offer a simple and convenient method for making purchases. Generally credit card fraud activities can happen in both online and offline. But in today’s world online fraud transaction activities are increasing ...
  • SKIN DISEASE DETECTION USING DEEP LEARNING 
    Varsha, Viswanath (2022-05)
    Dermatological disorders are one of the most widespread diseases in the world. Despite being common its diagnosis is extremely difficult because of its complexities of skin tone, color, presence of hair. This paper ...

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