The main objective of this project is to design a system using Open CV that can detect lane lines and estimate vehicular offset value with the help of lane curvature.

This repository consists KNN code using python,Finding optimal K using 10-fold cross validation, Sliding Window approach to increase accuracy.

LeetCode, HackerRank, Codility, CTCI - Cracking The Coding Interview & Miscellaneous algorithms and data structures studies & solutions

This repository contains the final project work for Autonomous Driving Technologies class. Robust lane detection, Stanley control for steering, UDP communication between 2 systems, and traffic sign detectors form an autonomous navigation system.

Python sliding window counter API rate limiter using Redis.

Time Series Sliding Window for Node.JS

Network Protocols course homework

Lane Detection project in the "Self Driving Car Engineer" nano-degree course

"This repository is a comprehensive implementation of data link layer protocols in the field of networking. Also showcases a meticulous approach towards implementing various protocols at the data link layer, enabling developers to understand, experiment."

This repository contains the experiments that are covered in Computer Networks Lab.

Devised an algorithm written to detect lane and estimate road curvature from live footage of an Autonomous Vehicle with added intelligent lane prediction in case lane is not detected <Completed>#

Data Structures And Algorithms Programs

Baek - Joon Online Judge Solving Problems

Lossless data transfer with sliding window algorithm using UDP protocol implemented in C++

This code produces weather forecasting data.

a connect 4 game built with JavaScript.

Golang rate limiter

Sliding window protocol implementation in Rust.

This repository presents my project on Car Detection Algorithm for Self-Driving Cars using the YOLO object detection algorithm.