Overview This project analyzes the Formula 1 Pit Stop Dataset from Kaggle to understand how pit stop strategy influences performance across a full Formula 1 season. The dataset provides detailed r...

A Kalman filter is an optimal estimation algorithm used to estimate the state of a system when the state cannot be measured directly but can be inferred from indirect and noisy measurements. This d...

Investing in the stock market can be very rewarding and challenging. Effective tracking and analysis are important for making informed decisions. To help with this process, I am developing a C++ ap...

The Pure Pursuit algorithm is a popular and efficient path-following algorithm used in autonomous robotics. It enables the robot to follow a desired path by continuously steering toward a lookahead...

Odometry is a method used by robots to track their position and orientation relative to a starting point by using data from sensors such as encoders or tracking wheels. This technique is essential ...

PID is a widely-used feedback control algorithm that adjusts the control inputs based on three error factors: Proportional (P): Reacts to the current error. Integral (I): Accounts for accumul...

Overview This project implements a BiLSTM-based binary classifier to identify whether short social media posts about COVID-19 are informative or uninformative. The model demonstrates end-to-end te...