Welcome to my portfolio website! This is a showcase of my work as a Machine Learning Engineer, featuring interactive AI demonstrations and projects.

Visit the live portfolio at: https://naveenda.github.io

• Classic Snake game implementation with AI
• Uses NEAT (NeuroEvolution of Augmenting Topologies) and Q-Learning algorithms
• Watch the AI learn and improve its gameplay through reinforcement learning
• Try it here

• Flappy Bird game with AI implementation
• Uses NEAT algorithm for neural network evolution
• Demonstrates natural selection and adaptation in AI
• Try it here

• A simulation of Longplayer, a generative composition built from six short recordings of Tibetan singing bowls. For 1000 years, it will play without repetition.
• Try it here

• Frontend Framework: Next.js 15
• Styling: Tailwind CSS
• AI Libraries:
  • NEAT (NeuroEvolution of Augmenting Topologies)
  • Q-Learning implementation
• Game Development:
  • Phaser.js
  • Matter.js for physics
• Animation: Framer Motion
• Type Safety: TypeScript

• Node.js (LTS version)
• npm or yarn

1. Clone the repository:

git clone https://github.com/naveenda/portfoilio.git
cd portfoilio

2. Install dependencies:

npm install
# or
yarn install

3. Run the development server:

npm run dev
# or
yarn dev

4. Open http://localhost:3000 in your browser.

npm run build
# or
yarn build

This project is licensed under the MIT License - see the LICENSE file for details.

• GitHub: @naveenda
• Twitter: @naveenda_

• NEAT algorithm implementation inspired by neataptic
• Game assets and inspiration from classic games
• Next.js team for the amazing framework