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Student AI Projects

Student AI Projects

Topic hub

Student AI Projects

A portfolio-friendly hub for handwritten digits, dataset formats, C classifiers, browser demos, and CNN projects.

Built for searches around handwritten digit recognition projects, C softmax classifiers, student AI projects, and browser AI playgrounds.

What you will build

You will start from CSV data structure, run a C classifier, then connect the idea to browser drawing input and a CIFAR-10 CNN.

  • handwritten digit recognition C project
  • student AI portfolio project
  • softmax classifier from scratch
  • CIFAR-10 CNN course project

Recommended reading order

Start with concepts, then move into runnable projects

Handwritten Digit Dataset Basics

Read train.csv, test.csv, labels, and the flattened 28 by 28 pixel layout before training the classifier.

Level: Beginner Reading time: 8 min
  • Dataset
  • CSV
  • Image Classification

Handwritten Digit Softmax in C

Follow the C implementation from logits and softmax probabilities to confusion matrices and submission export.

Level: Practice Reading time: 11 min
  • C
  • Softmax
  • Classification

Handwritten Digit Playground Notes

See how the offline classifier was adapted into a browser demo with drawing input and probability output.

Level: Practice Reading time: 8 min
  • Browser Demo
  • Softmax
  • Visualization

CIFAR-10 Tiny CNN Tutorial in C

Build and train a small convolutional neural network for CIFAR-10 image classification, then read its loss and accuracy output.

Level: Intermediate Reading time: 13 min
  • C
  • CNN
  • CIFAR-10
  • Backpropagation

Resources and distribution assets

Code, data, diagrams, and share assets in one place

FAQ

Direct answers to common search questions

Can these projects be used in a course portfolio?

They are suitable as learning and portfolio references, but course submissions should include your own experiment logs, parameter choices, and error analysis.

Will full datasets be hosted on the site?

No large full datasets are published here. The site hosts small samples, code, explanations, and necessary public companion files.