About
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Research Work
Infrared Thermal Imaging for Pavement Inspection with Heirarchical Hybrid Vision Transformers
This paper benchmarks CNN models (ResNet50, InceptionV3, EfficientNet-B0, VGG19) and ViT models (ViT-B/16), along with hybrid Heirarchical ViT-CNN architectures (CoAtNet-3, MaxViT), for IRT image based pavement crack detection. The study employs Grad-CAM for interpretability, highlighting model selection for efficient infrastructure maintenance
Enhancing Explainability in Multimodal AI via Chain-of-Thought Driven Knowledge-Infused Neuro-Symbolic Models
This paper presents an explainable multimodal AI framework for depression detection by combining Chain-of-Thought (CoT) reasoning with knowledge-infused neuro-symbolic models. The approach integrates textual, visual, and behavioral data to improve diagnostic accuracy while enhancing transparency in decision-making. By incorporating external knowledge and symbolic logic with deep learning, the model provides interpretable insights into depressive symptoms, making it more trustworthy and clinically useful.
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Yottly
All in one Youtube SaaS app - Summarize videos, generate transcripts, and analyze playlists - all powered by advanced AI models
Devconnect
Connect, Collaborate and Code with developers for hackathons and projects
GitHub Contributions
Hackathons
GFG HackFest
Developed a Community based web app to connect RWA's and residents to resolve issues
Kavach Hackathon
Developed Fake news detetection system using NLP and scraping fake news websites and social media
Hackaccino
Developed a Community based mobile app to connect RWA's and residents to resolve issues
Smart India Hackathon
Developed Fake news detetection system using NLP and scraping fake news websites and social media