Student Project Repository

AI Innovators Lab Projects

This page provides beginner-friendly artificial intelligence and machine learning projects for camp students. Each project includes a problem statement, dataset link, and a Google Colab notebook link. Students may choose one project, follow the guided notebook, customize examples, and prepare a short presentation for the showcase.

How students should use this page: Choose one project with your team, open the Google Colab notebook, run the code step by step, change a few parameters, test your own example, and prepare a short explanation of what your AI model does. The goal is simple: “I built an AI model.”

Available Projects

Projects are selected to be visual, engaging, and achievable within the short camp schedule. Google Colab notebook links can be added after each notebook is uploaded.

1. Cat vs Dog Classifier

Image Classification Beginner CNN

Students upload an image, and the AI predicts whether it is a cat or a dog.

Dataset: Kaggle Dogs vs Cats
Dataset Link: Large Dataset | Small Dataset

2. Handwritten Digit Recognition

Image Classification Beginner MNIST

Students draw or test a handwritten number, and the AI predicts the digit from 0 to 9.

Dataset: MNIST
Dataset Link: Open Dataset

3. Spam Detection

Text Classification Intermediate NLP

Students type a text message, and the AI predicts whether it is spam or not spam.

Dataset: UCI SMS Spam Collection
Dataset Link: Open Dataset

4. Student Performance Prediction

Tabular Data Intermediate Decision Tree

Students use educational data to predict whether a fictional student may pass or need improvement.

Dataset: UCI Student Performance Dataset
Dataset Link: Open Dataset

5. Heart Disease Risk Prediction

Tabular Data Intermediate Responsible AI

Students use fictional patient profiles to learn how AI can explore health-related datasets responsibly.

Dataset: UCI Heart Disease Dataset
Dataset Link: Open Dataset

Note: This project is for education only and is not medical advice.

6. Movie Recommendation System

Recommendation Intermediate Similarity

Students enter a favorite movie, and the system recommends similar movies.

Dataset: MovieLens Latest Small
Dataset Link: Open Dataset

7. Fake News Detector

Text Classification Advanced Responsible AI

Students type a news headline, and the AI predicts whether it may be fake or real.

Dataset: Fake and Real News Dataset
Dataset Link: Open Dataset

Note: This project is for education only and is not a real fact-checking tool.

8. Rock Paper Scissors Classifier

Image Classification Intermediate Gesture AI

Students upload a hand gesture image, and the AI predicts rock, paper, or scissors.

Dataset: TensorFlow Rock Paper Scissors
Dataset Link: Open Dataset

Project Presentation Guide

Each team should explain:
  • What problem their AI project solves
  • What dataset they used
  • What the model predicts
  • What result or accuracy they achieved
  • One real-world use of the project
  • One limitation or responsible AI concern