AI Projects With Code
Explore our collection of projects with code, featuring detailed explanations and complete source code
These projects provide a comprehensive explanation in PDF format
Analysis of Heart Disease Dataset
The objective of this project is to predict the presence or absence of heart disease in a patient using a subset of 14 attributes from the Heart Disease dataset. The dataset contains patient information from four different locations, and it includes 76 attributes, of which 14 are commonly used for analysis.
Photometric stereo in Computer Vision
The goal of this part of the assignment is to implement a standard photometric stereo algorithm. Assume Lambertian reflectance function, but the albedo is unknown and non-constant in the image. The implementation will take in multiple images as input along with the light source direction for each image.
Clustering-based Image Segmentation Techniques
Image segmentation using clustering is a machine learning technique that divides an image into distinct regions or objects based on the similarity of their pixel values. This can be useful for a variety of tasks, such as object detection, scene understanding, and image editing.
Movie Recommendations System
Movie recommendation systems are used to provide personalized suggestions to users based on their movie preferences. They analyze a user's viewing history, ratings, and other behavioral data to predict which movies they are likely to enjoy in the future.
Handwriting Recognition with Machine learning
Handwriting recognition is a computer science and artificial intelligence field that deals with the automatic recognition of handwritten text. This can be used to convert handwritten text into digital text that can be read and processed by computers.
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Codersarts AI provides a comprehensive collection of AI projects with code, covering a wide range of topics, such as machine learning, natural language processing, and computer vision. All projects are well-documented and easy to follow, making them perfect for beginners and experienced developers alike.
In addition to the code, we also provide PDFs that provide a complete explanation of each project. These PDFs include step-by-step instructions, code examples, and screenshots. This makes it easy for anyone to learn how to create and use AI projects.
Our goal is to make AI accessible to everyone. By providing these resources, we hope to help people learn about AI and how to use it to create their own projects