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ahbarhusain's Projects

chatbot icon chatbot

Introduction: Brance Bot is an intelligent question answering system designed to provide accurate and relevant answers to user queries based on a knowledge base. The system utilises a combination of natural language processing (NLP) techniques, embeddings,LLMs and langchain to retrieve and generate responses to user questions.

cutler icon cutler

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation"

darkpatterns icon darkpatterns

Analyzed and implemented Chrome Extension Framework using HTML, CSS, and JavaScript, seamlessly integrated into the browser for web page analysis by analyzing 11,000 shopping crawls and employing DeBERTa for multi-label classification. Developed a website capable of analyzing website links or screenshots using the Large Multimodal (LLaVA 1.6)

dermadost icon dermadost

DermaDost is a prototype web application designed to help users identify various skin conditions and to provide support through a LLM powered skin assistant.

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

malaria-detector icon malaria-detector

This project allows the user to upload an image and make predictions on whether it is infected or uninfected.This project has been implemented by ensembling machine learning (image classification) with Flask ,frontend and backend to detect malaria cells

sortingvisualizer icon sortingvisualizer

Created a web application using HTML, CSS, Javascript to visualize how various sorting algorithms work. This project sorting visualizer is a very simple UI which allows the users to select the sort algorithm, select the array size and speed of the visualization.

trafficcounter icon trafficcounter

Vehicle detection and counting using deep learning is a transformative approach compared to traditional methods like pneumatic road tubes. This project leverages the power of computer vision, specifically YOLOv5, to accurately count and classify vehicles from surveillance camera footage.

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