Cultivating young leaders to engineer a sustainable, climate-resilient future. A hands-on, 5-day interactive camp dedicated to inspiring the next generation to solve climate challenges using Artificial Intelligence, creativity, and green tech.
Camp Essentials
8 – 11 June, 2026 (Daily)
12 June: Capstone Day (10AM-4:30PM)
NUST SEECS, Islamabad
Sector H-12 Campus
Young Eco-Innovators
Climate Tech Enthusiasts
No prior coding/AI needed!
Just Curiosity & Passion
Empowering future leaders with the technical literacy and strategic insight to address major ecological and cooling issues globally.
Interactively train computer vision and classification models to solve real-world smart energy efficiency and waste management problems.
Inspect, test, and break AI datasets to discover biases and understand their ecological impact on physical management systems.
Design and deploy specialized AI personas programmed to deliver localized climate action directives and energy conservation tips.
Master prompt engineering techniques to synthesize high-impact generative art, comics, and stories on environmental sustainability.
Team up to brainstorm, formulate a Concept Canvas, and pitch your custom Green Tech solution at the physical exhibition.
Throughout the 5-day lab, you won't just learn theory; you will assemble a functional, collaborative tech prototype that builds sequentially day by day, culminating in a live exhibition presentation.
Establish energy saving systems and automatic waste sorters while observing how AI algorithms see waste and power usage.
Configure intelligent climate bots and prompt generative tools to illustrate and visualize climate challenges visually.
Define training datasets, draft functional wireframes on a Concept Canvas, and assemble a prototype to pitch to judges.
Explore our detailed, activity-driven itinerary. Switch between daily modules using the dynamic controller below.
8th June, 2026 | 10:00 AM - 01:00 PM
An interactive introductory session challenging participants to identify computational characteristics vs human logic.
Train an visual Teachable Machine (Google) model to automatically shut down power networks or detect energy patterns.
Fuel up with treats while learning how localized smart cooling and power grids utilize live algorithms.
Adversarial tinkering! Learn how to purposely trick, fool, and patch your energy saving algorithm to understand critical flaws.
Quick gamified recap, documenting critical observations on energy logic into lab notebooks.
Clearing the workbenches and setting down equipment for the next day's physical experiments.
9th June, 2026 | 10:00 AM - 01:00 PM
A fun perceptual game illustrating how different focal points alter spatial data collection.
Build and optimize an image classification network engineered to instantly segment recycling vs waste materials.
Testing participant-trained models against real tricky waste pieces. Who has the highest classification accuracy?
Discover how skewed and limited datasets cause automatic sorters to fail, prompting real-world ecological hazards.
Assembling data parameters for fair algorithms and planning our training guidelines.
Sorting physical materials and preparing storage partitions.
10th June, 2026 | 10:00 AM - 01:00 PM
A fast-paced interactive simulation revealing logic chains, natural language processing, and system prompts.
Write customized system prompts to create unique LLM-based assistants embodying expert ecological personas.
Fun showcase sharing the funniest, smartest, or most peculiar environmental advice synthesized by student bots.
Swap seats to interact with classmate bots. Can you craft prompts to trick another group's bot into recommending bad policies?
Refocusing on reliable instruction pipelines and system integrity guards.
Logging out of lab systems safely and resetting workstations.
11th June, 2026 | 10:00 AM - 01:00 PM
Collaborative structural writing game demonstrating how syntax nuances change generative AI outputs.
Harnessing generative diffusion engines to design stunning environmental "Climate Hero" concepts and imagery.
Curating digital displays of modern artworks on large screens to showcase collective prompt ideas.
Deploy narrative tools to storyboard a multi-panel visual comic depicting an AI system resolving a critical energy crisis.
A dynamic physical standup discussing deep generative authorship ethics.
Organizing materials for the upcoming Grand Capstone day.
12th June, 2026 | 10:00 AM - 04:30 PM (Special Extended Day)
Mapping local cooling and environmental issues directly onto whiteboards.
Form multi-disciplinary groups, draft solution frameworks, map input data requirements, and outline AI actions.
Present high-level concepts to trainers for actionable optimizations before building.
Design custom wireframes, configure functioning bots, organize mock datasets, and craft structural pitches. (Includes lunch breaks)
Presenting live interactive designs to NUST mentors, families, and academic reviewers.
Official distribution of S2Cool certifications and program closing address.
A modern toolkit of software suite parameters and AI modeling frameworks kids will master during the camp.
Google image & visual recognition dataset structuring platform.
Natural Language processing system instruction engineering (LLMs).
Pixel synthesis, storyboards, and composition prompt styling.
Interactive planning boards to design data inputs and logic paths.
Test your eco-tech intuition with our quick interactive quiz. Find out how AI assists in sustainable cooling! Click an option to test your skills live.
What is the main advantage of using AI in "Smart Cooling" grids?
Learn from prominent scholars, researchers, and technical architects leading NUST computer vision projects.
Professor & Associate Dean
NUST SEECS
Assistant Professor
NUST SEECS
Faculty Member & Scholar
NUST SEECS
Faculty Member & Researcher
NUST SEECS
This initiative is funded by the UK Government through Project: APP47457, titled “Super-efficient Sustainable Cooling Solution for All Applications (S2Cool)” under the Ayrton Challenge Programme of the UK Research and Innovation (UKRI); however, the views expressed do not necessarily reflect the UK Government’s official policies.
The Project: APP47457 is led/implemented by Northumbria University UK along with collaborating global partners.
Get in touch with the project coordination team at NUST SEECS if you need administrative information or details on seat reservations.
SEECS NUST, Sector H-12, Islamabad, Pakistan
To submit registration interest or reserve a seat for the upcoming AI Tinker Lab: Eco-Innovators camp, please reach out directly to the program organizers with your student details: