Deep-Fakes
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Published in 2021 3rd IEEE Bombay Section Signature Conference(IBSSC),2021, -0020
The study seeks to enhance the accuracy of textual content identity to be able to make contributions to the improvement of existing technology. Read more
Published in International Research Journal of Engineering and Technology (IRJET) , Volume 8 Issue 3 March 2021, 2021
Our goal is to create a model that can detect face masks in crowded public places with computer vision using Python, OpenCV, and Tensor Flow, and Keras. Read more
Recommended citation: Vansh Gupta , Rajeev Rajput, 2021, FACE MASK DETECTION USING MTCNN AND MOBILENETV2, International Research Journal of Engineering and Technology (IRJET) , Volume 8 Issue 3 March 2021 https://www.irjet.net/volume8-issue3
Published in INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT), Volume 10 Issue 11 Novemeber 2021, 2021
The system makes use of IoT and Machine Learning technology. It consists of physical and chemical sensors that detect pH, Turbid- ity, Color, Dissolved Oxygen, Conductivity to check influencing factors.The data collected by the sensors is saved in a database and then submitted for analysis. Read more
Recommended citation: Manya Kakkar , Vansh Gupta , Jai Garg , Dr. Surender Dhiman, 2021, Detection of Water Quality using Machine Learning and IoT, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 10, Issue 11 (November 2021), https://www.ijert.org/detection-of-water-quality-using-machine-learning-and-iot
Published in 2021 2nd International Conference for Emerging Technology (INCET), 2021
This paper discuss semantic Address matching technique, by which we can find out a particular address from a list of possible addresses. Read more
Recommended citation: V. Gupta, M. Gupta, J. Garg and N. Garg, "Improvement in Semantic Address Matching using Natural Language Processing," 2021 2nd International Conference for Emerging Technology (INCET), 2021, pp. 1-5, doi: 10.1109/INCET51464.2021.9456342 https://ieeexplore.ieee.org/document/9456342
Published in INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT), 2021
The study introduces a threat object identification system in ML, such as Open-CV and Keras with Tensor Flow using the convolutions of neural neural networks and specific libraries. The themes discussed include the creation of the neural network, data increase strategies utilised, testing and detection rates utilising X-ray images. Read more
Recommended citation: Vansh Gupta , Manya Kakkar , Jai Garg , Dr. Sanjay Kumar, 2021, Threat Detection using Machine Learning in Public Places, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 10, Issue 10 (October 2021), https://www.ijert.org/threat-detection-using-machine-learning-in-public-places
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown! Read more
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post. Read more