Hello! I'm Asmi Vashista, a passionate data enthusiast who loves to explore the world of data science, machine learning, and artificial intelligence. I enjoy working on projects that challenge my skills and allow me to learn new technologies.
- Data Science: Analyzing and interpreting complex data to help make informed decisions.
- Machine Learning: Building predictive models and algorithms to solve real-world problems.
- Neural Networks: Exploring the capabilities of neural networks through projects like self-driving simulations and game AI.
Here are some of the projects I've worked on:
- Description: A simulation that uses the NEAT algorithm to evolve neural networks that control self-driving cars in a Pygame environment.
- Technologies: Python, Pygame, NEAT-Python
- Key Features:
- Real-time visualization of cars navigating a track.
- Collision detection and radar systems for obstacle avoidance.
- Fitness evaluation based on distance traveled.
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Description: An AI implementation of the classic Flappy Bird game using NEAT to train birds to navigate through pipes.
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Technologies: Python, Pygame, NEAT-Python
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Key Features:
- Birds learn to fly through pipes by adjusting their jump height.
- Visualization of generations and fitness scores.
- Programming Languages: Python, c, c++
- Frameworks and Libraries: Pygame, NEAT-Python, Pandas, NumPy, Matplotlib
- Tools: Git, Jupyter Notebooks, Visual Studio Code
Feel free to connect with me on GitHub or reach out via email if you have any questions or collaboration ideas!
- Email: [[email protected]]
This profile and its contents are licensed under the MIT License. Feel free to use and modify any of the projects as you see fit.