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Intro to AI: Student Project Showcase

Description

This repository is a curated collection of exemplary projects chosen by students in the Introduction to Artificial Intelligence class for in-depth study and implementation. Each project falls under a specific AI category like computer vision, natural language processing, transformers, games, etc. This method enables students to deepen their understanding of AI through practical experience, akin to how artists master their craft by replicating masterpieces. Students either replicate the work described in papers, extend it for their own AI applications, or develop their own AI applications.


Table of Contents


AI Categories

Natural Language Processing

  1. Applying Transformer-Based NLP Techniques on Education Tweets: [Student presentation] [Student Code]
  2. Yelp Review Rating Prediction: [Student presentation] [Student Code]
  3. Neural Networks for Sentence Classification: [Student presentation] [Student Code]
  4. Sentiment Analysis
  5. AI Chatbot: [Student presentation] [Student Code]
  6. Classifying Source Code Security: [Student presentation] [Student Code]
  7. Text-Summarization Bot: [Student presentation] [Student Code]
  8. Automated Lecture Generator: [Student presentation]

Computer Vision

  1. Colorful Image Colorizationn: [GitHub] [Student presentation]
  2. Real-Time User-Guided Image Colorization with Learned Deep Priors: [GitHub] [Demo Video]
  3. StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation: [GitHub] [Student presentation] [Student Code]
  4. Fetching the Right Breed: [Student presentation] [Student Code]
  5. Artificial Intelligence Model for Image Classification: [Student presentation]
  6. Visual Query Response: [Student presentation] [Student Code]
  7. A Multi-fidelity Prediction with Convolutional Neural Networks Using High-Dimensional Data: [Student presentation]
  8. Play Minecraft: [Student presentation] [Student Code]
  9. Image Classification in Autonomous Vehicles: [Student presentation] [Student Code]
  10. Image Matcher: [Student presentation] [Student Code]
  11. Identifying Planes in Satellite Imagery: [Student presentation] [Student Code]
  12. Gender and Age Detection: [Student presentation] [Student Code]
  13. Chess AI: [Student presentation] [Student Code]
  14. Speech Emotion Recognition: [Student presentation] [Student Code]

Reinforcement Learning

  1. RLCard: A Toolkit for Reinforcement Learning in Card Games: [GitHub] [Student presentation]
  2. A comparative study of temporal difference methods on Self-Driving Cab: [Student presentation] [Student Code]

Game

  1. AI Kakuro Puzzle Solver: [Student presentation]
  2. Battleship: [Student presentation] [Student Code]
  3. Settlers of Catan AI: [Student presentation] [Student Code]
  4. Boop - AI Agent: [Student presentation] [Student Code]
  5. Deep Reinforcement Learning on Atari Games: [GitHub] [Student presentation]
  6. AI based Ludo Player: [Student presentation] [Student Code]
  7. Applying Deep Q-learning approach to Pacman problem: [Student presentation]
  8. Chess AI
  9. Evalutaion of AI Agents in Ultimate Tic-Tac-Toe: [Student presentation] [Student Code]
  10. New Approach on 2048: [GitHub] [Student presentation] [Student Code]
  11. DeepStack Poker: [GitHub] [Student presentation]
  12. Enhanced Battle City: [Student presentation] [Student Code]
  13. Snake Game Automation and Optimization: [GitHub] [Student presentation] [Student Code]
  14. Chess AI Agent: [Student presentation] [Student Code]
  15. Hacking Natural Selection: [Student presentation] [Student Code]
  16. Snake AI: [Student presentation] [Student Code]
  17. Checkers
  18. Tetris AI: [Student presentation] [Student Code] [Demo Video]
  19. Sudoku Puzzle Solver: [Student presentation] [Student Code]
  20. Which Objective Wins the Game?: [Student presentation] [Student Code]
  21. Blackjack AI: [Student presentation] [Student Code]
  22. Predicting who wins the DOTA 2 game: [Student presentation] [Student Code]
  23. WordleAssist: [Student presentation] [Student Code]
  24. Sequence Board Game: [Student presentation] [Student Code]

Machine Learning

  1. Credit Card Fraud Detection: [Student presentation] [Student Code]
  2. Image Classification & Evaluation: [Student presentation] [Student Code]
  3. Comparing ML Techniques for Authenticating Banknotes: [Student presentation] [Student Code]
  4. Vision-based human activity recognition (HAR) using transfer learning approach for Internet-of-Things (IoT) applications: [Student presentation] [Student Code]
  5. Traffic Prediction with ML and DL Algorithms: [Student presentation] [Student Code]
  6. Stock Prediction: [Student presentation] [Student Code]
  7. Credit Card Fraud: [Student presentation] [Student Code]
  8. Airline Passenger Satisfaction Analysis: [Student presentation] [Student Code]
  9. Predicting Diabetes in Women: [Student presentation] [Student Code]

Deep Learning

  1. pix2code: [GitHub] [Student presentation]
  2. Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation: [GitHub] [Student presentation]
  3. Deep Learning-Based High-Accuracy Traffic Sign Detection: [Student presentation] [Student Code]
  4. Predicting the Outcomes of Major League Baseball Games Using a Multilayer Perceptron Neural Network: [Student presentation] [Student Code]
  5. PriceForcastAI: [Student presentation] [Student Code]
  6. Trajectory Prediction: [Student presentation] [Student Code]
  7. Pet Disease Prediction: [Student presentation] [Student Code]
  8. Time Series Analysis of Hotel Receipts in Texas: [Student presentation] [Student Code]

Transformer

  1. Sign Pose-Based Transformer for Word-Level Sign Language Recognition (SPOTER): [GitHub] [Student presentation]
  2. Vision Transformer and MLP-Mixer Architectures: [GitHub] [Student presentation] [Student Code]
  3. CodeFormer: [GitHub] [Student presentation] [Student Code]
  4. ReelRatings: [Student presentation] [Student Code]
  5. Traffic Incident Detection: [Student presentation] [Student Code]
  6. Label-to-Image Generation: [Student presentation]

Medical

  1. Predicting a Stroke: [Kaggle] [Student presentation]
  2. Data Augmentation in Medical Image Datasets with DCGAN: [Student presentation] [Student Code]

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