AI Projects

Explore a collection of AI projects showcasing machine learning and deep learning applications across various domains.

• Handwritten Digit Recognition

  This project uses a convolutional neural network (CNN) to recognize handwritten digits from the MNIST dataset, a widely used benchmark in machine learning. Trained on 60,000 images, the model achieves 96.26% accuracy on a test set of 10,000 images, showcasing its effectiveness in digit classification and potential for real-world applications like automated form processing.

  Created on: November 25th, 2024

• Apartment Price Segmentation

  This project leverages unsupervised learning techniques, including neural networks, K-means clustering, and PCA, to segment apartment prices based on patterns in the data. These methods help identify price clusters and underlying structures in the real estate market without requiring labeled data.

  Created on: November 18th, 2024

• Apartment Price Prediction

  This project uses supervised learning techniques, including neural networks and linear regression, to predict apartment prices based on factors like location, size, and amenities. The models are trained on historical data to provide accurate price estimates for real estate decision-making.

  Created on: October 26th, 2024