Agr-E
A functional rc controlled prototype rover using AI for precision farming
A functional rc controlled prototype rover using AI for precision farming
An Automated Fabric Defect Detector that swiftly identifies and segregates defective cloth items
A content-based recommendation system using cosine similarity by scraping 10k web pages using multithreading that consists 9k+ diverse suggestions from 7 different countries.
Reverse fashion search from instagram to E-commerce website(Flipkart)
AI-powered chat assistant web app to enable equal access for specially-abled individuals.
Published in FIRE 2021(ACM), 2021
The hate speech and offensive content identification track (HASOC)[1] in FIRE 2021 English Subtask A track provides a forum and a data challenge for multilingual research on the identification of such problematic content.
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Published in LT-EDI-ACL2022, 2022
This paper describes team giniUs’ submission to the Hope Speech Detection for Equality, Diversity and Inclusion Shared Task organised by LT-EDI ACL 2022.
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Published in Sustainability, 2022
The purpose of this study was to determine electromyographically if there are significant differences in the movement associated with the knee muscle, gait, leg extension from a sitting position and flexion of the leg upwards for regular and abnormal sEMG data.
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Published in ADCIS-2022(Springer SG), 2023
This article proposes an enhanced and more accurate approach to detecting fabric defects. Here, we compare the performance of various advanced deep learning models such as MobileNetV2, Xception, VGG19, and InceptionV3 and how their performance changes with the type of fabric.
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Published in Evolving Systems, 2024
This article proposes an improved 3D encoder-decoder model based on ResNet50 and incorporating 3D dense convolutional blocks and convolutional transpose layers, outperforms existing models in segmentation
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Published:
Covered different available packages that can be utilized in embedding ML in web apps.
Published:
I covered concepts that included Time Series Analysis, Forecasting and Financial time series sequence classification. The session also involved application of Orange toolkit for image feature extraction and classification.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.