→Understanding Artificial Intelligence (AI) and how it impacts daily life.
→Exploring different types of AI: Narrow AI, General AI, and Super AI.
→Real-world applications of AI in education, healthcare, security, and entertainment.
→Ethical considerations and responsible AI usage.

→Introduction to block-based programming for AI concepts.
→Basics of Python programming for AI development.
→Understanding data types, loops, and functions in AI programming.
→Hands-on exercises in writing simple AI algorithms.

→Introduction to Machine Learning (ML) and how computers learn from data.
→Understanding supervised and unsupervised learning.
→Training simple ML models to recognize patterns and trends.
→Exploring datasets and model training using real-world examples.

→Understanding how AI processes and recognizes images.
→Introduction to image classification and object detection.
→Hands-on project: Teaching AI to recognize faces, objects, and gestures.
→Applications of computer vision in security, automation, and gaming.

→Understanding how AI interprets and responds to human language.
→Basics of speech recognition and text analysis.
→Training AI to recognize emotions and respond intelligently.
→Hands-on project: Building a simple AI chatbot.

→Introduction to AI-powered automation systems.
→Exploring AI applications in smart homes, security, and personal assistants.
→Developing AI models for weather prediction, emotion detection, and more.
→Ethical considerations in AI automation and decision-making.

→Applying AI & ML concepts to real-world challenges.
→Encouraging problem-solving and creativity through hands-on projects.
→Students develop and present their own AI-powered innovations.
→Final Expo: Showcasing AI projects to demonstrate skills and innovation.