One Week Summer School on A.I.
This is a one week summer school designed to empower school going students from (8th-12th standard) with basic implementable skills in the area of artificial intelligence.
The first day will focus on exploring AI tools that can generate images, text, music, and stories. By the end of the day, the students will learn: (a) the basics of Generative AI (images, text, music), (b) how AI models are trained and used to generate new content, (c) to use tools like Teachable Machine, DALL·E, Suno, and ChatGPT, and, (d) to create a project that combines visual and written AI-generated content.
The second day will focus on enabling students to build simple Android games using MIT App Inventor, while learning app logic, UI design, and creative thinking. By the end of the day, students will learn: (a) the basics of mobile app development, (b) to design a user interface using drag-and-drop blocks, (c) to code game logic using visual programming, and, (d) to build and test their own interactive mobile game.
The third day will focus on teaching students how chatbots work and guide them to build their own using visual or block-based tools like Botpress, Dialogflow, or Scratch/Blockly-based chatbot tools. By the end of the day, students will learn: (a) how chatbots simulate conversation using logic trees and NLP, (b) to identify real-life use cases for chatbots, (c) to build and customize a basic chatbot (e.g., quiz bot, helper bot, info bot), and, (d) to deploy or demo their chatbot in a mini project.
The fourth day will focus on introducing students to core ML concepts like data, features, and training models by using Google Teachable Machine, QuickDraw, and visual ML apps. By the end of the day, students will learn: (a) what Machine Learning is and how it differs from traditional programming, (b) about input data, features, training, testing, and inference, (c) to build an image-based ML model using Teachable Machine, and, (d) to use their ML model in a web or app-based project.
The fifth day will focus on enabling students to explore, analyze, and visualize real-world data using spreadsheets or beginner-friendly tools and tell compelling stories through numbers. By the end of the day, students will learn: (a) what data is and how it’s collected, (b) how to clean, organize, and analyze data, (c) to create charts (bar, line, pie) to visualize insights, and, (d) to present a data story around a theme like habits, climate, school, or health.
The sixth and final day will focus on gesture recognition with edge impulse session goals. The expected outcomes are that the students learn: (a) to create and train a gesture recognition model using Edge Impulse, (b) to collect and label gesture data (wave, thumbs up, swipe, etc.), (c) to deploy and test the model in real time using a phone, and, (d) to build a gesture-controlled mini app (e.g., music controller, light toggle).
Date and Time
Location
Hosts
Registration
- Start time: 02 Jun 2025 04:30 AM UTC
- End time: 07 Jun 2025 11:30 AM UTC
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- CSE Department, HBTU
- Kanpur, Uttar Pradesh
- India 208002
- Contact Event Host
- Co-sponsored by IEEE Computational Intelligence Society, IEEE UP Section
Speakers
Rashi Agarwal
Artificial intelligence and its applications
Email:
Address:CSE Department, HBTU, , Kanpur, Uttar Pradesh, India, 208002