BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250504T142116Z UID:CA9D9044-B24C-406E-86FB-8DC4C106BF29 DTSTART;TZID=Asia/Kolkata:20250602T100000 DTEND;TZID=Asia/Kolkata:20250607T170000 DESCRIPTION:This is a one week summer school designed to empower school goi ng students from (8th-12th standard) with basic implementable skills in th e area of artificial intelligence.\n\nThe first day will focus on explorin g AI tools that can generate images\, text\, music\, and stories. By the e nd 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 generat e new content\, (c) to use tools like Teachable Machine\, DALL·E\, Suno\, and ChatGPT\, and\, (d) to create a project that combines visual and writ ten AI-generated content.\n\nThe second day will focus on enabling student s to build simple Android games using MIT App Inventor\, while learning ap p logic\, UI design\, and creative thinking. By the end of the day\, stude nts 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 mob ile game.\n\nThe third day will focus on teaching students how chatbots wo rk and guide them to build their own using visual or block-based tools lik e Botpress\, Dialogflow\, or Scratch/Blockly-based chatbot tools. By the e nd of the day\, students will learn: (a) how chatbots simulate conversatio n using logic trees and NLP\, (b) to identify real-life use cases for chat bots\, (c) to build and customize a basic chatbot (e.g.\, quiz bot\, helpe r bot\, info bot)\, and\, (d) to deploy or demo their chatbot in a mini pr oject.\n\nThe fourth day will focus on introducing students to core ML con cepts like data\, features\, and training models by using Google Teachable Machine\, QuickDraw\, and visual ML apps. By the end of the day\, student s will learn: (a) what Machine Learning is and how it differs from traditi onal programming\, (b) about input data\, features\, training\, testing\, and inference\, (c) to build an image-based ML model using Teachable Machi ne\, and\, (d) to use their ML model in a web or app-based project.\n\nThe fifth day will focus on enabling students to explore\, analyze\, and visu alize real-world data using spreadsheets or beginner-friendly tools and te ll compelling stories through numbers. By the end of the day\, students wi ll learn: (a) what data is and how it’s collected\, (b) how to clean\, o rganize\, and analyze data\, (c) to create charts (bar\, line\, pie) to vi sualize insights\, and\, (d) to present a data story around a theme like h abits\, climate\, school\, or health.\n\nThe sixth and final day will focu s on gesture recognition with edge impulse session goals. The expected out comes are that the students learn: (a) to create and train a gesture recog nition model using Edge Impulse\, (b) to collect and label gesture data (w ave\, 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).\n\nCo-sponsored by: IEEE Computatio nal Intelligence Society\, IEEE UP Section\n\nSpeaker(s): Rashi Agarwal\n\ nCSE Department\, HBTU\, Kanpur\, Uttar Pradesh\, India\, 208002 LOCATION:CSE Department\, HBTU\, Kanpur\, Uttar Pradesh\, India\, 208002 ORGANIZER:dr.rashiagarwal@gmail.com SEQUENCE:2 SUMMARY:One Week Summer School on A.I. URL;VALUE=URI:https://events.vtools.ieee.org/m/483834 X-ALT-DESC:Description: <br /><div class="page" title="Page 1">\n<div class ="layoutArea">\n<div class="column">\n<p>This is a one week summer school designed to empower school going students from (8th-12th standard) with ba sic implementable skills in the area of artificial intelligence.</p>\n<p>T he first day will focus on exploring AI tools that can generate images\, t ext\, 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 mod els are trained and used to generate new content\, (c) to use tools like T eachable Machine\, DALL&middot\;E\, Suno\, and ChatGPT\, and\, (d) to crea te a project that combines visual and written AI-generated content.</p>\n< div class="page" title="Page 2">\n<div class="layoutArea">\n<div class="co lumn">\n<p>The second day will focus on enabling students to build simple Android games using MIT App Inventor\, while learning app logic\, UI desig n\, 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 us ing drag-and-drop blocks\, (c) to code game logic using visual programming \, and\, (d) to build and test their own interactive mobile game.</p>\n<di v class="page" title="Page 3">\n<div class="layoutArea">\n<div class="colu mn">\n<p>The third day will focus on teaching students how chatbots work a nd guide them to build their own using visual or block-based tools like Bo tpress\, Dialogflow\, or Scratch/Blockly-based chatbot tools.&nbsp\;By the end of the day\, students will learn: (a)&nbsp\;how chatbots simulate con versation 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.</p>\n<div class="page" title="Page 4">\n<div class="layoutA rea">\n<div class="column">\n<p>The fourth day will focus on introducing s tudents to core ML concepts like data\, features\, and training models by using Google Teachable Machine\, QuickDraw\, and visual ML apps. By the en d of the day\, students will learn: (a) what Machine Learning is and how i t 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.</p>\n<div class="page" title="Page 5">\n<div class="layout Area">\n<div class="column">\n<p>The fifth day will focus on enabling stud ents to explore\, analyze\, and visualize real-world data using spreadshee ts or beginner-friendly tools and tell compelling stories through numbers. By the end of the day\, students will learn: (a)&nbsp\;what data is and h ow it&rsquo\;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.</p>\n<div class="page" title="Page 6">\n<div class="layoutArea" >\n<div class="column">\n<p>The sixth and final day will focus on gesture recognition with edge impulse session goals. The expected outcomes are tha t the students learn: &nbsp\;(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.\, m usic controller\, light toggle).</p>\n</div>\n</div>\n</div>\n</div>\n</di v>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n<p>&nbsp\;</p> \n</div>\n</div>\n</div>\n</div>\n</div>\n</div> END:VEVENT END:VCALENDAR