Revolutionize text summarization with this Transformer model, leveraging state-of-the-art techniques. Trained on news articles, it produces concise summaries effortlessly. Explore cutting-edge capa…

This project showcases the implementation of a prompt engineering using the OpenAI Assistant API, specifically leveraging the Retrieval-Augmented Generation (RAG) system. By integrating cutting-edg…

Config files for my GitHub profile.

This project aims to assist visually impaired individuals by providing a solution to convert images into spoken language. Leveraging deep learning and natural language processing, the system proces…

Transform TV control with Gesture Recognition! Enable intuitive interaction with smart TVs using gestures built using Conv3D, CNN & RNN

Led development of custom YOLO-based object detector for precise face mask detection in images. Demonstrates expertise in computer vision, deep learning, AI, and image processing. Contributed to pa…

In this X-ray classification assignment, we built a deep learning model to classify chest X-ray images into "nofinding" and "effusion" classes. We tackled challenges like data augmentation, imbalan…

This project uses deep learning to classify flower images as "roses" or "daisies," employing data augmentation, ResNet-18 architecture, and hyperparameter tuning.

Skin Cancer Detection using CNN is a deep learning project that accurately detects melanoma. With a dataset of 2357 skin images, the model alerts dermatologists about melanoma presence, aiding in e…

This project showcases a cats vs dogs image classification model using image augmentation and Keras. It employs deep learning and convolutional neural networks (CNNs) to accurately classify images …

With 226 predictor variables we need to predict whether a particular customer will switch to another telecom provider or not. In telecom terminology, this is referred to as churning and not churnin…

Developed a cutting-edge browser extension utilizing state-of-the-art language processing technology, including the renowned GPT 3.5 Turbo model. This extension enables users to engage in natural l…

Giving recommendations to the Top Indian Production team - RSVP ,for their upcoming film about to be released globally.

The objective of this assignment is to extract textual data articles from the given URL using Beautiful Soup and perform text analysis to compute variables that are explained herein.

Predicting the variables that effects the revenue of the bike sharing company after a serious drop-fall during the covid-19 pandemic.

Predicting the transportation of passengers to different planets using systems damaged computer system

Predicting the variables that are highly responsible for house prices in delhi using Linear Regression and decision trees Model.

To understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of loan applicant being defaulter.