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Browsing 2022 by Title

Browsing 2022 by Title

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  • AN AI BASED SOCIAL DISTANCE MONITORING SYSTEM 
    ABHISHEK, M; NADERA BEEVI, S (2022-07)
    The virus that causes Covid19 is identified as SARS-CoV-2. The corona virus’s devastating spread has brought forth a global catastrophe. Social isolation is thought to be a defense mechanism against the pandemic virus’s ...
  • AI CHATBOT FRAMEWORK AS A SERVICE 
    MOHAMMED, RASIK; NADERA BEEVI, S (2022-07)
    This project aims at developing an AI Chatbot Framework which can be used to create chatbot applications for any type of business concern or entity. The application by default will not contain any intents or stories, ...
  • 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 ...
  • 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 ...
  • AUTOMATIC LICENSE NUMBER PLATE RECOGNITION SYSTEM 
    Ganga Krishnan, G; Fousia M, Shamsudeen (2022-07)
    Numerous aspects of daily life are still being transformed by technologies and services that are geared toward intelligent transportation systems and smart automobiles. Automatic Number Plate Recognition has ingrained ...
  • 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 ...
  • CartoonifyGAN:Generative Adversarial Network for Image Cartoonization 
    Siji, Jose; Jasmin, M R (2022-07)
    A solution for converting real-world pictures into cartoonified pictures that is both useful and exciting in computer vision is proposed. Our method is organised as a knowledge-based plan that has recently gained popularity ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Contrastive Analysis Of Supervised And Unsupervised Learning Techniques For Voice Pathology Detection And Classification 
    Mayuri, M; Jasmin, M R (2022-07)
    The development of technology makes it possible to offer better solutions to the complicated issues that people encounter. The early identification, treatment, and ongoing monitoring provided by today's smart healthcare ...
  • COVID-19 DIAGNOSIS FROM CT SCANS USING DEEP LEARNING 
    Sruthimol, Biju; Nadera, Beevi S (2022-05)
    SARS-CoV-2 is a novel virus, responsible for causing the COVID-19 pandemic that has emerged as a pandemic in recent years. Humans are becoming infected with the virus. In 2019, the city of Wuhan reported the first-ever ...
  • 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 ...
  • DATA MIGRATOR 
    Brahmaduttan, S; Vaheetha, Salam (2022-07)
    DATA MIGRATOR,is a web platform that allows data to be moved quickly from one database to another. It facilitates the migration of several collections either in their entirety as-is or by specifically selecting one or ...
  • 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 ...
  • A Deep Learning Model for Classification of Gender and Age from Facial Images 
    Fathima, Novrin; Nadera Beevi, S (2022-07)
    Gender classification and Age identification play an important role in our social lives. Gender is central characteristics of personality, and it is essential in our life. Age is important for our identity. Security, ...
  • DEEP LEARNING-BASED AIR POLLUTION PREDICTION IN SMART CITIES 
    Shalima, Shajahan; Fousia.M., Shamsudeen (2022-07)
    One of the most significant issues affecting urban living is air pollution, a form of environmental hazard. One of the air pollutants responsible for a number of illnesses is PM2.5, or Particulates with a diameter of ...
  • 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 ...
  • 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 ...
  • 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. ...

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