Decision Tree Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Decision Tree 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.

Decision Tree Final Year Projects

A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders

This project focuses on detecting Autism Spectrum Disorder (ASD) early using machine learning. It compares different ways of preparing data and several simple machine learning methods to see which works best. The study tests these methods on datasets for toddlers, children, adolescents, and adults. The results show high accuracy and identify the most important factors for predicting ASD, helping doctors make better decisions.
A Signature Transform of Limit Order Book Data for Stock Price Prediction

This project focuses on predicting stock prices using advanced machine learning techniques. It takes detailed order book data from stock exchanges and extracts key patterns called signature features. These features are then used to train models like deep neural networks and random forests. The results show that using signature features improves prediction accuracy and efficiency, especially in developed markets.
Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network

This project studies how cyber attackers can trick smart security systems that protect computer networks. It focuses on poisoning attacks, which feed fake data to these systems to make them fail. The researchers use a type of deep learning called GAN to create realistic fake data and test how well security systems can detect it. Their experiments show that many machine learning models used in network security can be fooled by such attacks.
Automatic Generation Control Strategy Based on Deep Forest

This project improves how electricity grids maintain stable power supply. It uses a smart system called a deep forest network to choose the best control method in real time. The system adjusts power output efficiently with fewer control actions. Simulations show it works better than traditional methods.
Travel Direction Recommendation Model Based on Photos of User Social Network Profile

This project creates a smart travel recommendation system using photos from a user’s social media account. It analyzes images and related data to suggest countries the user might like to visit. The system uses machine learning methods to compare, classify, and group data for accurate suggestions. Tests show it can correctly predict trips most of the time, and it can improve further by using photo location information.
Using PBL and Agile to Teach Artificial Intelligence to Undergraduate Computing Students

This project explored a hands-on learning approach where students solve real-world problems while learning Artificial Intelligence. Thirty undergraduate students used Agile and Scrum methods to build five machine learning models for predicting breast cancer. The approach helped them improve teamwork, problem-solving, and communication skills. It shows that combining project-based learning with Agile methods can make computing education more effective and practical.

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At Final Year Projects, we provide complete guidance for Decision Tree IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

Our team has over 10 years of experience guiding students in Computer Science, Electronics, Electrical, and other engineering domains. We support students across India, including Hyderabad, Mumbai, Bangalore, Chennai, Pune, Delhi, Ahmedabad, Kolkata, Jaipur and Surat. International students in the USA, Canada, UK, Singapore, Australia, Malaysia, and Thailand also benefit from our expert guidance.

Decision Tree Project Synopsis & Presentation

Final Year Projects helps prepare Decision Tree project synopsis, including problem statement, objectives, existing system, disadvantages, proposed system, advantages and research motivation. We provide PPT slides, tutorials, and full documentation for presentations.

Decision Tree Project Thesis Writing

Final Year Projects provides thesis writing services for Decision Tree projects. We help BE, BTech, ME, MSc, MCA and MTech students complete their final year project work efficiently.

All theses are checked with plagiarism check tools to guarantee originality and quality. Fast-track services are available for urgent submissions. Hundreds of students have successfully completed their projects and theses with our support.

Decision Tree Research Paper Support

We offer complete support for Decision Tree research papers. Services include writing, editing, and proofreading for journals and conferences.

We accept Word, RTF, and LaTeX formats. Every paper is reviewed to meet IEEE and publication standards, improving acceptance chances. Our guidance ensures that students produce high-quality, publication-ready research papers.

Reach out to Final Year Projects for expert guidance on Decision Tree projects. Get support for coding, reports, theses, and research publications. Contact us via email, phone, or website form and start your project with confidence.

Decision Tree Final Year Projects with Source Code