Explainable AI Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Explainable AI ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.

Explainable AI Projects for Final Year Students

Latest Explainable AI Projects

  1. A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis
    This project focuses on detecting brain disorders using brain activity data. It combines diagnosis and explanation in a single system to make results more reliable. The system learns which brain connections are important for each person. It can also simulate changes in brain activity to understand how disorders affect the brain.
  2. Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges
    This project studies how smart transportation systems can be improved using deep learning. It looks at how traffic, vehicles, roads, and weather affect transportation. The study explains modern AI methods for predicting traffic, recognizing vehicles, and monitoring road conditions. It also highlights challenges and future ideas to make transportation safer and more efficient.
  3. Deep Learning-Based Multiclass Approach to Cancer Classification on Liquid Biopsy Data
    This project uses a simple blood test to detect and identify different types of cancer without surgery. It studies RNA from blood platelets and uses deep learning to recognize patterns linked to specific cancers. The method can help doctors find the type and location of cancer early. It also highlights the key genes that influence the predictions to make the results easier to trust.
  4. Advancing UAV Communications: A Comprehensive Survey of CuttingEdge Machine Learning Techniques
    This project studies how machine learning can help drones communicate better and work smarter in mobile networks. It explains how drones can act as flying users or base stations to improve network coverage. The paper reviews different learning methods that help drones save energy and find the best flight paths. It also explores how new AI techniques can connect with cloud and edge systems for better performance.
  5. Advancing UAV Communications A Comprehensive Survey of CuttingEdge Machine Learning Techniques
    This project reviews how machine learning is used with drones in mobile networks. It explains how drones can act like flying users or mini base stations. The study looks at how AI can help improve coverage, energy use, and network performance. It also explores new AI methods and how they can work with cloud or edge computing.
  6. A Big Data-Driven Hybrid Model for Enhancing Streaming Service Customer Retention Through Churn Prediction Integrated With Explainable AI
    This project focuses on predicting which customers are likely to stop using a streaming service. It studies how people use the service and applies smart computer models to find early warning signs of leaving. The system combines deep learning and machine learning to make accurate predictions. It also helps businesses understand why customers might leave so they can take steps to keep them.
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How We Help You with Explainable AI Projects

At UniPhD, we provide complete guidance and support for Explainable AI ieee projects for MTech, ME, Master’s, and PhD students. Our team assists you at every stage from topic selection to coding, report writing, and result analysis.

We also help you choose a suitable IEEE base paper and guide you in developing your project using Python-based tools and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, Flask, and Streamlit. In addition, we support implementation and simulation through platforms like MATLAB, Simulink, and NS2, depending on project requirements.

Our experts guide students all over India, including in Mumbai, Delhi, Bangalore, Hyderabad, Ahmedabad, Chennai, Kolkata, Pune, Jaipur, and Surat. We also assist students in the USA, UK, Canada, Australia, Singapore, Malaysia, and Thailand. They have extensive experience in computer science, electronics, electrical and all engineering domains.

Explainable AI Thesis and Dissertation Writing

UniPhD has a team of experienced academic writers who specialize in Explainable AI research and thesis development. We offer fast-track dissertation writing services to help you complete your Explainable AI thesis or dissertation smoothly and on time.

Our M.E., M.Tech, Masters, MS abroad, and PhD theses are developed according to individual university guidelines and checked with plagiarism detection tools to ensure originality and quality.

Explainable AI Research Paper Publishing Support

UniPhD provides complete support for research paper writing, editing, and proofreading to help you publish your work in reputed journals or conferences. We accept documents in Microsoft Word, RTF, or LaTeX formats and ensure your paper meets publication standards.

Project Synopsis and Presentation Support

We help you prepare your project synopsis, including the problem definition, objectives, and motivation for your dissertation. Our team also provides complete PPT, documentation, and tutorials to make your final presentation successful. You can also download complete project resources, including source code, a project report, a PPT, a tutorial, documentation, and a research paper for your Explainable AI final year project.

Explainable AI Research Support for PhD Scholars

UniPhD offers advanced Explainable AI research projects designed specifically for PhD scholars. We provide end-to-end support for your research design, implementation, experimentation, and publication process.

Each project package includes comprehensive documentation, including the research proposal, complete source code, research guidance, documentation, research paper, and thesis writing support, helping you successfully complete your doctoral research and academic publications.

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