Student AI Project Showcase

Explore the innovative artificial intelligence applications created by our students. Each project demonstrates creativity, technical skill, and problem-solving ability.

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Image Recognition

Smart Recycling Sorter

Alex Chen Grade 8

An AI-powered tool that identifies whether items belong in recycling, compost, or trash bins. Helps reduce contamination in recycling streams and promotes proper waste sorting.

Teachable Machine Image Classification Environmental
92% Accuracy
4 Categories
200+ Training Samples
Image Recognition

Emotion Detection Assistant

Maria Rodriguez Grade 10

Recognizes facial expressions to identify emotions (happy, sad, surprised, neutral). Could help people with autism or social anxiety better understand emotions.

Teachable Machine Facial Recognition Accessibility
87% Accuracy
4 Emotions
150+ Training Samples
Sound Classification

Musical Instrument Identifier

James Wilson Grade 7

Listens to music and identifies which instrument is playing. Recognizes guitar, piano, drums, violin, and trumpet. Great for music education and practice.

Teachable Machine Audio Classification Music Education
85% Accuracy
5 Instruments
180+ Audio Samples
Pose Detection

Gesture-Controlled Game

Sarah Kim Grade 9

Interactive game controlled entirely by hand gestures. Rock, paper, scissors, thumbs up, and peace sign control different game actions. No keyboard needed!

Teachable Machine Pose Recognition Gaming
91% Accuracy
5 Gestures
250+ Training Samples
Image Recognition

Houseplant Care Assistant

David Patel Grade 11

Identifies common houseplants and provides care recommendations. Recognizes succulents, ferns, pothos, snake plants, and more to help beginners care for their plants.

MIT App Inventor Image Classification Gardening
88% Accuracy
6 Plant Types
220+ Training Images
Image Recognition

ASL Alphabet Translator

Emma Thompson Grade 12

Recognizes American Sign Language alphabet letters to help people learn ASL. Could be expanded to words and phrases for better communication accessibility.

Teachable Machine Gesture Recognition Accessibility
83% Accuracy
26 Letters
400+ Training Samples