2 publications

• Published Subscription Review Article 5 Apr 2024

  Controlling Media Player Through Hand Gesture Recognition System Using CNN and RNN Models

  By Khallikkunaisa, Mayank N. Nandwani, Rohit Chauhan, Prabhant Kumar, Nitesh Kumar

  Abstract: Artificial intelligence markup language (AIML) project represents a pioneering endeavor in the realm of media player control through hand gesture recognition, merging advanced technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN). By harnessing the image analysis capabilities of CNN, our system ensures accurate, real-time detection, and interpretation of intricate hand gestures, enabling users to interact with their media content naturally and seamlessly. What sets our project apart …

  Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 29–34 Read article →

• Published Subscription Original Research 26 Aug 2023

  Fruit Adulteration Detection Utilizing Machine Learning Methods

  By Khallikkunaisa, Shivani S, Spandana V, Sudhiksha S, Vidhya K.C

  Abstract: A device utilizing Internet of Things (IoT) technology was developed for the identification of fruit adulteration through machine learning methods, specifically targeting formalin content assessment. The identification of the fruits based on their extracted traits has been accomplished using a variety of machine-learning techniques. The formalin concentration can be detected as an estimate of the generated voltage of any fruit via an Arduino Uno board 3 and a volatile compound …

  Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 32–45 Read article →