Project Guides | AI For Zero

Hands-On Project Guides

Jump from theory to practice with deployable projects. Every guide includes code, data, and step-by-step instructions.

I. Data Analysis & Foundational ML

Use unsupervised learning (K-Means) to group customers based on spending habits and demographics.

Build and deploy a linear regression model using Scikit-learn to predict real estate values.

Develop a robust classification model to assess borrower risk, featuring data cleaning and balancing techniques.

Track vehicle flow from a video feed using the YOLO model, focusing on optimization for speed.

Build an attendance or access control system using FaceNet embeddings and simple classification.

Create artistic images by merging content from one photo with the style of another using a CNN loss function.

Build a knowledge-based QA system that can answer questions using your custom documents.

A scalable API endpoint for processing text reviews and classifying sentiment instantly.

Combine a CNN and an RNN to automatically describe images in natural language.