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UPWARDS TechTrek High School Summer Camp

High School Summer Camp 2026

UPWARDS TechTrek High School Summer Camp

A two-week, project-based program where students learn how AI, circuits, FPGA, robotic cars, and drones work together in modern intelligent systems.

Program structure

One integrated camp organized by topic, lecture, and project work

TechTrek is organized around four technical topics. Each topic combines short lecture modules with hands-on projects, so students can connect the idea, the tool, and the working demo instead of treating them as separate tracks.

Topic 1 — AI & Machine LearningPython, neural networks, computer vision, real-time image/video processing.
Topic 2 — Electronic CircuitsSensors, breadboards, Arduino/Raspberry Pi, power, measurement, and IoT-style circuits.
Topic 3 — Digital Design & FPGALogic gates, FSMs, SystemVerilog, Quartus, and real hardware deployment.
Topic 4 — Robotic Cars & DronesScratch robotics, line tracking, ROS/ROS2, computer vision, autonomous drones, and swarm coordination.

Topic 1

Artificial Intelligence and Machine Learning

Students start with Python and ML fundamentals, then move into computer vision and real-time image/video applications.

Lecture + Projects
Students collaborating in an AI and machine learning summer camp session
Students participating in an AI and machine learning tutorial session in a classroom

AI and ML activities include collaborative demos, image classification, object tracking, gesture recognition, and tutorial-style classroom learning.

Lecture

  • AI career paths, job market, useful courses/majors, and Q&A.
  • Python and common ML libraries used in lab work.
  • General machine learning: data, labels, training, testing, classification, and neural networks.
  • Computer vision applications and how cameras become input for intelligent systems.

Projects

Emoji Face Filter

Identify emotion such as happy or sad from emoji-style faces; introduces classification.

Color-Based Object Tracking

Track a colored ball or object in real time using HSV color space, masking, contours, and coordinates.

Gesture Identification

Use Colab camera access to capture gestures and classify motion from real-time video data.

Smart Camp Safety / Activity Monitor

Detect people, count activity, or classify scenes from video.

Topic 2

Electronic Circuits

Students learn how real-world signals become electrical information, then build sensor, power, and embedded hardware projects.

Lecture + Projects
Raspberry Pi breadboard motion detection hardware setup