AI Career Choice Project
A comprehensive project showcasing chatbot development, robotic navigation, and machine learning planning for practical AI applications.
Overview
In this project, I designed a disaster recovery robot in CoppeliaSim to navigate an environment affected by an electrical fire. The robot detects and avoids obstacles such as a fallen bookshelf and exposed electrical cables using LIDAR and infrared sensors. The robot performs SLAM (Simultaneous Localization and Mapping) to gather real-time data, providing first responders with room layouts and potential hazards.
Task 1: Chatbot Development
A chatbot was created using Pandorabots and AIML to provide career advice and options to college students. The development involved designing interactions, scripting responses, and testing user engagement.
Process Highlights:
- Registered and set up a chatbot on Pandorabots.com.
- Recorded a concise video presentation explaining the chatbot's capabilities.
Task 2: BubbleRob Robot Simulation
This task required implementing a robotic navigation system in CoppeliaSim Edu. Using LIDAR and infrared sensors, the BubbleRob robot detected and avoided obstacles while navigating a simulated environment.
Process Highlights:
- Configured the BubbleRob simulation to detect objects and navigate barriers.
- Integrated sensors for enhanced obstacle detection.
- Performed thorough testing and recorded a demonstration video.
Task 3: Machine Learning Proposal
The final task focused on proposing a machine learning solution for a business process. The project emphasized conceptualizing AI integration, planning timelines, and designing resource allocation.
Process Highlights:
- Proposed AI integration for a fictional business process.
- Created detailed project timelines, milestones, and cost estimations.
- Developed a write-up and cited sources for academic research.
Project Outcomes
This project provided hands-on experience in designing chatbots, programming robotic navigation, and planning machine learning projects. The integration of AI principles into practical applications showcases proficiency in conceptualizing and implementing advanced AI-driven solutions.