Rohit Kaushik's repositories
Sign-Language-Recognition-using-CNN
A breakthrough Convolutional Neural Network (CNN) application that accurately interprets sign language, transforming gestures into speech and text, fostering seamless communication for the deaf community.
Alzheimers-Detection-from-MRI-Images
Advanced machine learning algorithms to analyse MRI images, providing early and accurate detection of Alzheimer’s disease, aiding in timely intervention and care. It’s a pivotal analysis in the fight against this neurodegenerative disorder, offering hope through technology.
kaushikrohit004
This special README repository is a dynamic reflection of me, designed to share my expertise and connect with the community.
MLOps-AWS-S3
This repository demonstrates how to set up automated model training workflows triggered by AWS S3 using Kestra. When new customer interaction data is added to S3, the system retrains recommendation models to enhance personalization. Configuring environment variables with GitHub and AWS credentials.
Path-Lib-Cloud
Python pathlib-style classes for cloud storage services such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.
RegressViz-Empirical-Coefficient-Explorer
RegrCoeffsExplorer is a tool that enhances the interpretation of regression results by visualizing empirical data distributions. It supports Linear Models (LM), Generalized Linear Models (GLM), and Elastic-Net Regularized Generalized Linear Models (GLMNET).
Space-Invader
Space Invaders game developed using Pygame
aws-genai-llm-chatbot
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
Copyleaks-Plagiarism-API
Copyleaks Plagiarism API offers robust and precise plagiarism detection, enabling developers to seamlessly integrate originality checks into their applications for maintaining content integrity.
Handwritten-Digits-Classification-using-SVM
In this notebook, my objective is to explore the popular MNIST dataset and build an SVM model to classify handwritten digits. Here is a detailed description of the dataset.
IntellectChat-Dynamic-AI-Driven-Recommendation-Engine
The Knowledge-Aware Conversational Recommendation System utilizes conversational data from smart devices to predict movie preferences. It analyzes user sentiment and employs collaborative filtering with critics' reviews to enhance accuracy and address the "cold start" problem, improving recommendations through neural collaborative filtering.
kaushikrohit004.github.io
Rohit Kaushik Portfolio
ReddEmotion-Analyzer
The project is a Reddit sentiment analysis tool that identifies trending stock tickers and evaluates community sentiment using the Vader Sentiment Intensity Analyzer.
Arizona-Fatal-Accidents
Arizona Road Safety Analysis: This project utilizes data-driven insights to understand and mitigate fatal accidents in Arizona, employing statistical models to identify risk factors and improve road safety measures.
British-Airways-Customer-Satisfaction-Analysis
A comprehensive analysis of customer satisfaction trends, this study delves into feedback and service quality data to enhance the passenger experience with British Airways.
Calgary-Crime-Analysis-using-Neural-Network
Calgary Crime Forecast: Leveraging LSTM neural networks to dissect and predict crime patterns from 2018-2024 data, this project aims to enhance public safety strategies through meticulous data analysis and advanced predictive modeling.
Coronary-Heart-Disease-Prediction
Utilizing a suite of machine learning algorithms, this project accurately predicts coronary heart disease by analyzing patient data, with Random Forest outperforming as the most effective classifier.
Binary-Classification-Travel-Insurance-claim
Insurance companies take risks over customers. Risk management is a very important aspect of the insurance industry. Insurers consider every quantifiable factor to develop profiles of high and low insurance risks. Insurers collect vast amounts of information about policyholders and analyze the data.
Detection-of-Moving-Objects
Moving object detection is a technique used in computer vision and image processing. Multiple consecutive frames from a video are compared by various methods to determine if any moving object is detected.
HR-Insights-using-ML
As a data scientist, predicting employee turnover is crucial for maintaining workforce stability. Let’s enhance the project to create a robust model that gauges the risk of attrition using systematic machine learning.
Image-Recognition-on-TV-series
Let’s dive into the fascinating world of image recognition using the VGG16 model. In this project, we’ll explore how this powerful architecture can help us identify objects within images, with a specific focus on the popular TV series “The Vampire Diaries.”
Memoire
Reminder Application
Mesop-Web-Apps
Rapidly build AI apps in Python
NYC-Taxi-Demand-Prediction
Repository containing the notebook for my big data project involving EDA and Machine Learning on the NY Taxi Fare dataset.
Restaurant-review-using-NLP
This is a restaurant reviewer model which was bulit using the concept of NLP. One of the most effective tools any restaurant has is the ability to track food and beverage sales daily. Currently, Recommender systems plays an important role in both academia and industry.
Synesthetic-Culinary-Navigator
Created an AI to match food images with recipes, beating benchmarks with ResNet and BERT. Achieved top-10 recall of 82.49% and a median rank of 1 using triplet loss networks.