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Recent Submissions

  • Lung Cancer Detection Using Machine Learning 

    Kumar, Anish; Ahmad Khan, Ghufran (Galgotias University, 2023-03)
    Uncontrolled cell growth in lung tissues is a possible cause of lung cancer. One of the primary causes of cancer-related deaths worldwide is lung cancer. Recovery from lung cancer requires an early diagnosis. The major ...
  • Traffic Flow Prediction using Machine Learning 

    Singh, Nitesh; Bhatia, Mohit (Galgotias University, 2023-04)
    The traffic flow prediction is an essential part of a city transportation system. With people relying on various modes of transportation, traffic in big cities is increasing at an exponential rate. In this scenario, ...
  • Traffic Flow Prediction using Machine Learning 

    Singh, Nitesh; Bhatia, Mohit (Galgotias University, 2023-04)
    The traffic flow prediction is an essential part of a city transportation system. With people relying on various modes of transportation, traffic in big cities is increasing at an exponential rate. In this scenario, ...
  • OBJECT DETECTION USING OPENCV AND DEEP LEARNING 

    TUSHAR; Kumar, Kundan (Galgotias University, 2022-05)
    The most often adopted methodologies for contemporary machine learning techniques to execute a variety of responsibilities on embedded devices are mobile networks and multimodal neural networks. In this research, we ...
  • Online news classification using ML 

    Ridhi; Kumar, Tarun (Galgotias University, 2024-05)
  • LEASE ADMINISTRATION 

    Ejaz, Md Amir; Yadav, Ganesh (Galgotias University, 2023-04)
    The project titled “LEASE ADMINISTRATION” is software for monitoring and controlling the transactions for the landlord. The project “LEASE ADMINISTRATION” is developed in java, which mainly focuses on basic operations in ...
  • Covid Tracking Application 

    KUMAR, DEVESH; KOLI, ANURAJ (Galgotias University, 2021-02)
    Covid-19 has put the world to a standstill. Doctors, healthcare workers, and personnel of many other essential services are fighting at the frontline to tackle this global pandemic. Although we are not fighting the battle ...
  • FAMS Facial Recognition Attendance Management System 

    Bansal, Prakhar (Galgotias University, 2024-02)
    The Face Recognition Attendance Management System utilizes CCTV cameras to automate attendance tracking. It employs advanced facial recognition technology to identify and record individuals as they enter a premises. This ...
  • A HYBRID APPROACH TOWARDS A MOVIE RECOMMENDATION SYSTEM 

    Anand, Prakhar; Azam, Sajid (Galgotias University, 2023-05)
    Online streaming media platforms are booming these days. OTT (Over-The-Top) platforms like Netflix, Amazon Prime, Hotstar, etc., provide online services that cater specifically to their users and provide them with some ...
  • Utilizing Data Science Models to Evaluate Questionnaire Accuracy for Detecting Mental Illness: Insights and Applications for Psychological Assessments 

    Srivastava, Shivansh; Mansi (Galgotias University, 2023-05)
    The accurate assessment of mental illness is crucial for effective diagnosis, treatment, and support. Traditional psychological assessments often rely on questionnaires to gather information about an individual's mental ...
  • RAIL HAILING ANDROID APP 

    Agarwal, Yash; Chandra, Kartikey (Galgotias University, 2021-12)
    This software aims at automating the process of interaction between cab drivers and passengers and hence, increasing the efficiency of both. The application provides quick and accurate results based on the ...
  • HATE SPEECH DETECTION 

    Katiyar, Kanchi; Rani, Bhawna; Kumari, Divya (Galgotias University, 2023-03)
    With the pervasive growth of online communication platforms, the rise of hate speech has become a significant concern, necessitating effective tools for its detection and mitigation. This project presents a comprehensive ...
  • IoT Based Car Parking Surveillance System 

    RANVIJAYA; BHARADWAJ, PRANAV (Galgotias University, 2022-12)
    The concept of smart cities has gained a lot of traction in recent years. Smart cities are a concept that now looks to be feasible, thanks to the advancement of the IoT. In the realm of IoT, consistent efforts are being ...
  • CRIME RATE PREDICTION USING MACHINE LEARNING 

    Justo, Cyrus (Galgotias University, 2022-10)
    rime investigation and prediction is a precise methodology for breaking down and recognizing various examples, connections and patterns in crime. The locales with high likelihood of event of crime is predicted by the ...
  • ATTENDANCE MONITORING SYSYTEM USING FACE RECOGNITION 

    Kumar, Pushkar (Galgotias University, 2023-04)
    Face recognition has been a very active research area in the past two decades. Many attempts have been made to understand the process of how human beings recognize human faces. It is widely accepted that face recognition ...
  • DESIGN AND IMPLEMENTATION OF AN APPLICATION FOR CREDIT CARD FRAUD DETECTION 

    Sharma, Tannu; Singh, Prerna; Sharma, Anu (Galgotias University, 2024-04)
    Credit card plays a very important role in today's economy. It becomes an unavoidable part of household, business and global activities. Although using credit cards provides enormous benefits when used carefully and ...
  • Credit Card Fraud Detection Submitted in partial fulfil ment of the requirement for the award of thedegree 

    Yadav, Sagar; Kumar, Saurabh (Galgotias University, 2023-05)
    'Fraud' in credit card transactions is unauthorized and unwanted usage of an account by someone other than the owner of that account. Necessary prevention measures can be taken to stop this abuse and the behaviour of ...
  • Glioblastoma brain tumor segmentation and survival prediction using 3D U Net 

    Srivastava, Prabhav; Misra, Vanshika (Galgotias University, 2023-05)
    Convolutional networks are the most widely used method for egmenting three dimensional (3D) medical images. Deep learning algorithms have recently attained human-level performance in a number of significant application ...
  • “SMART STICK FOR BLIND PEOPLE” 

    GUPTA, ROHAN KUMAR; PATEL, RAHUL (Galgotias University, 2024-05)
    Humans are not disabled. A person can never be broken. Our built environment, our technologies, is broken and disabled. We the people need not accept our limitations, but can transfer disability through technological ...
  • Heart Disease Predictor 

    Rahman, Afzal; Singh, Siddhant (Galgotias University, 2023-05)
    Machine Learning is used across many ranges around the world. The healthcare industry is no exclusion. Machine Learning can play an essential role in predicting presence/absence of locomotors disorders, Heart diseases and ...

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