autonomous-disaster-response-system

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 using AprilTags. Off-the-shelf components were used, and explore lite was modified to improve performance. The code and a group report were submitted

calibration_and_augmented_reality

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 target and then position a virtual item in the scene next to the target so that it moves and orients itself appropriately in response to camera or target.

camera-mosiac

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

case_study_on_indian_startups_coding_ninjas

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.

coding-ninjas-data-structures-algorithm-in-cpp

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

content-based-image-retrieval

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 between the images based on the feature vector of the Targeted image.

driver-for-gnss-puck-to-parse--gpgga

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.

driver-for-rtk--real-time-kinematic--to-parse--gngga-

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.

driver-for-vectornav-vn-100-inertial-measurement-unit-to-parse-vnymr

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 magnetometer data and analyzed the data for Allan variance.

hotel_data_analytics

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 data cleaning, transforming the dataset, and extracting valuable insights to provide a comprehensive understanding of the hotel chain's data.

kharshit.github.io

Personal website and blog - Technical Fridays

lane_detector_using_opencv_for_autonomous_vehicle

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 ADAS and autonomous vehicle systems. They accurately detect lane locations and borders, contributing to safe and reliable navigation.

leetcode-practice

This repository consits solutions of LeetCode question in Cpp.

lidar-point-cloud-based-3d-object-detection

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 using the Open3d python package. The resulting 3D point cloud can then be processed to detect objects in the surrounding environment.

medical_data_extraction

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 this process and improve efficiency, I've developed a solution that enables hospitals to scan these documents and automatically extract the crucial data

navigation-stack-using-two-different-sensors-sensor-fusion-of-gps-and-imu

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

pyamaze

pytorch_tutorials

real-time-filtering

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 cartoonization, put sparkles into the image where there are strong edges.

real_time_2d_object_recognition

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 manner from a camera looking straight down. The computer should be able to recognize single objects placed in the image and identify the objects.

roburishabh

virtual-chatbot

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