Artificial Intelligence Applications Final Year Projects with Source Code

Byadmin Final Year Projects

Artificial Intelligence Applications Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Artificial Intelligence Applications 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 Applications Final Year Projects

  1. Data Augmentation Based on Generative Adversarial Networks for Endoscopic Image Classification
    This project aims to help doctors detect digestive system diseases more easily using computer-based image analysis. The system trains several deep learning models to automatically classify diseases from endoscopy images. It also creates extra training images using generative models to improve accuracy. The final model shows strong and safe performance, reducing the workload on medical staff.
  2. Application of Artificial Intelligence Methods in Carotid Artery Segmentation A Review
    This project focuses on analyzing images of the carotid artery, a major blood vessel in the neck that supplies blood to the brain. It uses artificial intelligence to automatically identify and measure the artery and any plaques that may form. These measurements help predict the risk of stroke and guide treatment. The study reviews how AI methods can improve accuracy compared to traditional techniques and discusses current challenges in this field.
  3. Artificial Intelligence Technology in the Agricultural Sector A Systematic Literature Review
    This project explores how artificial intelligence is changing farming. It looks at tools like smart sensors, robots, and data analysis to monitor crops, soil, and water use. The study shows how AI can help farmers grow better crops, use resources efficiently, and increase profits. It also examines the benefits, challenges, and different AI methods used in modern agriculture.
  4. The Influence of Artificial Intelligence on E-Governance and Cybersecurity in Smart Cities A Stakeholders Perspective
    This project studies how artificial intelligence can help improve cybersecurity in government digital services. It looks at how AI and e-Governance together protect systems from cyber threats. The research also shows that the involvement of different stakeholders, like experts and officials, is important for stronger security. The findings help governments of smart cities make their online services safer and more reliable.
  5. The Role of Artificial Intelligence in Future Rehabilitation Services A Systematic Literature Review
    This project reviews how artificial intelligence can help provide rehabilitation services remotely. It looks at machine learning methods that track movements, recognize activities, and predict patient status. The study highlights technologies that monitor patients without being intrusive. It also points out that more testing is needed to ensure these tools work reliably for different patients at home.
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Artificial Intelligence Applications Project Synopsis & Presentation

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