Artificial Intelligence Models Final Year Projects with Source Code
Artificial Intelligence Models Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Artificial Intelligence Models projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.
Artificial Intelligence Models Final Year Projects
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Assessing Inter-Annotator Agreement for Medical Image Segmentation
This study looks at how differences between medical experts can affect the training of AI systems for analyzing medical images. It measures how consistently multiple experts label the same lesions or abnormalities. The researchers use visual maps, statistical coefficients, and an algorithm called STAPLE to check agreement and create accurate ground truth for AI training. They tested their methods on cervical and chest X-ray images to show how combining different measures improves reliability. -
A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle
This paper studies how Artificial Intelligence (AI) systems handle personal data and the privacy risks involved. It explains that at each stage of an AI system—like collecting, cleaning, and using data—there can be threats to privacy. The study identifies four main privacy risks and reviews methods, technologies, and policies to protect data. It highlights challenges and solutions for keeping AI systems ethical and compliant with privacy rules.
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Artificial Intelligence Models Project Synopsis & Presentation
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