OCCA Childcare AI with Python Class – Student Project Showcase
Our comprehensive AI with Python course introduces students to programming and artificial intelligence through practical, hands-on projects. Throughout the program, students learn core Python fundamentals, build real-world applications, and develop a professional portfolio—while exploring the exciting possibilities of AI technology.
Here is their Project Showcase!
🌟 OCCA Childcare AI with Python Class – Student Project Showcase 🌟
Course completed on December 21st! Our students have built four amazing projects showcasing their Python and AI skills!
🎉 Course Successfully Completed – December 21st, 2025!
Great news! Our AI with Python course has successfully concluded. Students have completed four exciting projects: Student Portfolio Websites, AI Chat Box, Voice AI Assistant, and AI Image Generator.
Each project includes detailed information about the project description, technologies used, GitHub repository links, and live demo links. Visit the student websites to explore all project information and see what our students have built!
All student websites follow the format: firstname.codecub.org
📚 About Our AI with Python Course
Our comprehensive AI with Python course introduced students to programming and artificial intelligence through hands-on projects. Students learned Python fundamentals, built real-world applications, and developed a professional portfolio—all while exploring the exciting possibilities of AI technology.
📚 Student Portfolio Websites
🎓 Projects Completed
Throughout the course, students successfully completed four comprehensive projects that demonstrate their Python programming and AI skills:
- Student Portfolio Websites – Personal portfolio showcasing their projects and skills
- AI Chat Box – Interactive text-based AI chatbot using natural language processing
- Voice AI Assistant – Voice-activated AI assistant with speech recognition and text-to-speech
- AI Image Generator – Creative AI tool for generating images using AI technology
Visit each student’s portfolio website to see detailed project descriptions, live demos, and GitHub repositories!
