This project involves analyzing sentiment from tweets related to U.S. airlines using the Twitter US Airline Sentiment Dataset. The goal is to predict the sentiment (positive, negative, or neutral) …

Built a model that predicts the correct class for every image in the CIFAR-10 test dataset. The CIFAR-10 dataset consists of 60,000 32x32 color images in 10 different classes, with 50,000 images fo…

Performed Text Classification using Multinomial Naive Bayes, Also implemented naive bayes then compared results of the implementations.

The purpose of this project is to create a comprehensive dashboard to assist the management team of StayCatin.com, an online platform for booking vacation properties, in making informed business de…

This project involves the creation of an Instagram bot using Selenium. The bot is designed to assist in automating common Instagram tasks such as logging in, following accounts, and interacting wit…

Detailed analysis of the Indian Startups for interpretation of trends and patterns to facilitate selection of proper city, useful investors, funding type e.t.c, for different startups.

Hospitals and medical facilities routinely generate various documents such as patient medical records and prescriptions. These documents are essential for insurance claims processing. To streamline…

In this project, I conducted an in-depth data analysis for a hotel chain. I began by thoroughly understanding the core business challenge and then leveraged a Kaggle dataset. My work encompassed da…

This repository consists solutions of Coding Ninjas Course of "Basics of C++ with Data Structures and Algorithm"

Implemented a 5x5 Gaussian filter, 3x3 Sobel X and 3x3 Sobel Y, generated a gradient magnitude image from the X and Y Sobel images, blurred and quantized a color image, did live video cartoonizatio…

Lane detection is a crucial step in training autonomous driving cars. It helps identify and avoid entering other lanes by analyzing visual input. Lane recognition algorithms play a vital role in AD…

Collected roughly 5 hours and 15 minutes worth of stationary IMU data at a location that is not subject to vibrations. Parsed $VNYMR string, to get accel, gyro, orientation (roll, pitch, yaw) and m…

This project is about learning how to calibrate a camera , then use the calibration to generate virtual objects in a scene. After getting calibration parameters System will be able to identify a ta…

This project is about real-time 2D object recognition. The goal is to have the computer identify a specified set of objects placed on a white surface in a translation, scale, and rotation invariant…

The main aim of the project is to implement Content Based Image Retrieval which is one of the most important concepts of computer vision. The bog companies are using this to compare the similarity …

This project involved developing an autonomous system using mobile robots for disaster response. The system generated a complete map of an initially unknown environment and located any victims usin…

This projects presents a Jarvis-Like AI Desktop voice assistant leveraging Python.

This repository consits solutions of LeetCode question in Cpp.

The project’s main goal is to investigate real-time object detection and tracking of pedestrians or bicyclists using a Velodyne LiDAR Sensor. Various point-cloud-based algorithms are implemented us…

Built a navigation stack using two different sensors - GPS & IMU, understand their relative strengths + drawbacks, and get an introduction to sensor fusion.

We will look at the role and use of calibrated cameras for simple photomosaicing.

Collected Stationary and walking data using a RTK sensor. Parsed the $GNGGA string for the latitude, longitude, and altitude. Converted the latitude and longitude to UTM.

Collected Stationary and walking data using a GNSS Puck. Parsed the $GPGGA string for the latitude, longitude, and altitude. Converted the latitude and longitude to UTM.