Developed a variant of the Generative Adversarial Network (GAN), Tedi-GAN, for generating human faces from textual descriptions. An interactive website allows users to see high-definition images generated from their descriptions.
Devised an advanced AI chatbot tailored to assist users in resume optimization and career advice, featuring a ChatGPT-like interface and optimized performance.
Built a task-management Chrome Extension tailored for professionals and students, featuring calendar integration and customizable notifications.
SocialClub is an app that redefines community engagement through a 3D mapping system, real-time interactions, and group creation. 
Published in 2022 International Conference for Advancement in Technology (ICONAT), 2022
In the complex landscape of online communication, distinguishing between sarcasm and hate speech is critically important. Misinterpretations can lead to significant social consequences. In this paper, we introduce a novel dataset and employ advanced machine learning models, including BERT, to better classify textual content across various contexts, achieving an accuracy of around 80%. Our approach helps in accurately interpreting user intent, contributing significantly to the field of sentiment analysis.
Recommended citation: Srinivas Pavan, et al. (2022) "Distinguishing Hate Speech from Sarcasm" in Proceedings of the 2022 International Conference for Advancement in Technology (ICONAT). https://ieeexplore.ieee.org/document/9726093
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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.