#PIAIC Projects in Artificial Intelligence As part of the Presidential Initiative for Artificial Intelligence and Computing (PIAIC) program, I developed a series of projects utilizing advanced AI technologies. These projects were carefully designed to meet the requirements outlined by the PIAIC faculty, focusing on practical applications and demonstrating a deep understanding of the underlying concepts in artificial intelligence.

Each project served as an opportunity to explore different AI domains, including but not limited to:

Machine Learning: Building predictive models and deploying algorithms for data-driven decision-making. Deep Learning: Leveraging neural networks to solve complex tasks such as image recognition, natural language processing, and more. Data Science and Analysis: Cleaning, processing, and visualizing data to uncover meaningful insights. AI-Powered Applications: Developing intelligent systems capable of performing tasks that traditionally require human intelligence. These projects were aimed at integrating theoretical knowledge with real-world problem-solving, providing a hands-on learning experience while also addressing innovative and contemporary challenges in AI.

Key highlights of my PIAIC AI projects include:

Practical Implementation: Utilizing cutting-edge tools and frameworks such as TensorFlow, PyTorch, and Scikit-learn to implement AI models. Research and Innovation: Staying updated with the latest advancements in AI to ensure the solutions were both modern and effective. Interdisciplinary Collaboration: Combining knowledge from various domains such as computer vision, robotics, and natural language processing to create comprehensive AI solutions. Scalable Solutions: Focusing on building scalable and efficient models that can be deployed in real-world applications. These projects not only enhanced my technical skills but also reinforced the importance of creativity, critical thinking, and teamwork in AI development. They stand as a testament to my commitment to learning and my ability to translate knowledge into impactful solutions.

Voice Agent Simulator

This project includes a basic restaurant voice agent with two ways to try it:

1. Command line – run voice_agent_sim.py to simulate a call.
2. Web UI – open voice_agent_web/index.html for an app-like experience using HTML, CSS, JavaScript, and GSAP animations.

Download

git clone <repository-url>
cd AI_Projects

Or download the repository as a ZIP archive and extract it.

Run the Command-Line Version

python3 voice_agent_sim.py inbound

Replace inbound with outbound to simulate an outbound call.

Run the Web Version

Simply open voice_agent_web/index.html in your web browser. No server setup is required.