projects i have done

Here’s an overview of the projects I've worked on, categorized for easier navigation:

Deep Learning Projects

• Neural Network from Scratch
  A step-by-step implementation of a neural network from scratch without any deep learning frameworks.
• Visual Transformers from Scratch
  An implementation of Vision Transformers (ViT) to explore the applications of transformer models in computer vision.
• Implementing CNN Architectures
  Hands-on coding of popular CNN architectures like ResNet and AlexNet to understand their functionality and implementation.
• Fake News Classifier using LSTM
  Developed a Fake News Classifier using an LSTM-based deep learning model to identify misinformation by analyzing textual data.
• Crypto Price Prediction using LSTM
  Built a deep learning model for Crypto Price Prediction using LSTM networks to predict future cryptocurrency prices based on historical data and market trends

C++ Projects

• Particle Simulation in C++
  Simulates particles that fall due to gravity and bounce when they hit the bottom of the window
• Circle Collisions
  A physics-based simulation project that demonstrates the dynamics of colliding circles, using principles like momentum, velocity, and collision detection.
• Visualising Path Finding Algorithms
  An interactive C++ project that brings algorithms like BFS, DFS, A*, Dijkstra, and Greedy Best-First Search to life, allowing users to watch these algorithms solve mazes and find the shortest path on a grid in real-time.

Robotics

• Autonomous-Robot-Navigation-and-Obstacle-Avoidance-Using-ROS2-and-Gazebo
  An autonomous robot capable of navigating in a simulated environment using Gazebo and ROS 2 which plans its path, detects obstacles, and avoids collisions while reaching its goal.
• ROS-2-Drone-Navigation-in-Gazebo
  This project enables drone navigation in a Gazebo simulation using ROS 2 Humble by publishing velocity commands to /cmd_vel. Instead of manual keyboard input, the drone is controlled through geometry_msgs/Twist messages.

Football Player Detection

• Football Analysis
  A data-driven analysis project using machine learning to predict match outcomes and analyze player performance.

Machine Learning Projects

• Basic ML Projects
  Various beginner-to-intermediate level machine learning projects, focusing on supervised and unsupervised learning techniques.

Fun Personal Projects

• Luck Website
  Predict your luck based on your birthdate with personalized insights, including your zodiac sign, lucky number, and fortune!