Projects

AWS Project

Intelligent PDF Query System

LLM / AWS Bedrock / LangChain

Developed an interactive tool for chatting with PDF documents using AWS Bedrock, LangChain, Amazon Titan for embedding generation and similarity search, AWS S3 for storage, AWS EC2 for deployment, and Streamlit for the front-end interface.

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Medical Chatbot

Medical Chatbot: LLM and Vector Embedding-Based Medical QA System

Natural Language Processing / FastAPI / Transformers

Engineered a FastAPI application leveraging transformer-based foundation models i.e., LLMs and Retrieval-Augmented Generation (RAG) in LangChain with SentenceTransformer embeddings and Qdrant vector database, enabling precise medical question-answering and optimized user experience.

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Object Detection

Real-time Object Detection with MobileNet-SSD using OpenCV

Numpy / OpenCV / Python

Deployed the MobileNet-SSD v2 algorithm, trained on the COCO dataset, to detect objects in a live video feed. The project uses OpenCV to implement a pre-trained deep learning model for identifying objects and drawing bounding boxes around them in real-time.

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Artistic Photo Filter Removal

Artistic Photo Filter Removal Using CNNs

Computational Photography / Image Restoration

Implementation of the paper "Artistic Photo Filter Removal Using CNNs". A method to automatically restore images that have been modified with photographic filters, such as those popular on photo sharing services.

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Facial Recognition

Facial Recognition using the Viola-Jones Algorithm

Pattern Recognition / Python / Image Processing

Implemented Face-detection using the AdaBoost algorithm, training a face classifier that can distinguish between face and non-face images with improved accuracy.

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