- My research focuses on building robust and interpretable architectures in data-scarce scenarios.
- I'm particularly interested in explainable and trustworthy AI.
- Visit my portfolio.
- I'm on Kaggle
- My blog site: royml.dev
NLP / LLMs
- Docqnatool: Docqnatool is a smart document Q&A assistant that lets you upload your files and ask meaningful questions about their content. Click for demo.
- DocuMindGPT: DocuMindGPT is a document-grounded Q&A CLI that uses RAG (Retrieval-Augmented Generation) to answer questions based on your PDFs or text files. It features a built-in evaluation agent that scores answers for hallucinations and relevance.
- rag-llm: Retrieval-Augmented Generation (RAG) demo built with LangChain, Chroma, and Streamlit, from scratch.
- mini-gpt: Mini gpt based off Andrej's course.
Vision
- Knee osteoarthritis detection and categorization: Code for paper "Knee osteoarthritis detection and categorization with deep learning models". Click for paper.
- Texture-based Feature Extraction and CBAM-Enhanced U-Net: Code for the paper titled "Texture-based Feature Extraction and CBAM-Enhanced U-Net for Automated Knee Osteoporosis Detection"
- CT scan reconstruction: This repository implements an end-to-end CT image reconstruction pipeline that maps sinograms → reconstructed CT images using deep learning
- Real-time object detector: A web-based real-time object detection application + standalone version which is a general purpose real-time detector
- Image generation: Image generation using huggingface models.
Kaggle
- My most upvoted notebooks: Some of my most voted Kaggle copies (30+ votes).
- Machine Learning codes: Some copies pertaining to Machine learning.
ML Projects
- Movie Recommender: A comprehensive movie recommendation system implementing multiple machine learning algorithms with an interactive React frontend.
- Misc. AI / ML codes: Some AI/ML tools written by me.
Apps / Projects
- Django app: To-do list app implemented in django framework.
- Full stack app: In-progress app.
