Time Series Analysis Final Year Projects with Source Code

Time Series Analysis Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Time Series Analysis 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.

Time Series Analysis Final Year Projects

  1. A Stock Price Prediction Method Based on BiLSTM and Improved Transformer
    This project develops a new method to predict stock prices more accurately and reliably. It combines three advanced models—BiLSTM, Transformer, and TCN—to use their strengths in analyzing stock data. The method was tested on multiple stocks and consistently outperformed existing prediction approaches. It provides stable, precise forecasts without timing issues.
  2. Detection of Alzheimer Disease on Online Handwriting Using 1D Convolutional Neural Network
    This project focuses on detecting early-stage Alzheimer’s disease using patterns in people’s handwriting captured online. Since there is limited data available, the study uses a special type of artificial intelligence, called DoppelGANger, to generate realistic handwriting examples. These generated examples help train a neural network to recognize Alzheimer’s more accurately. The approach was tested on real handwriting data and showed much better results than existing methods.
  3. CNN-LSTM Driving Style Classification Model Based on Driver Operation Time Series Data
    This project focuses on recognizing different driving styles accurately and quickly. It collects driver behavior data over time and uses neural networks to identify patterns. The system combines convolutional networks and LSTM to analyze the data and classify driving styles. Tests show it achieves over 93% accuracy with faster processing.
  4. Fault Classification in Distribution Systems Using Deep Learning With Data Preprocessing Methods Based on Fast Dynamic Time Warping and Short-Time Fourier Transform
    This project focuses on detecting short-circuit faults in power systems more accurately and efficiently. It converts voltage and current signals into a time-frequency map and uses a neural network to identify fault types. The method also removes redundant data to make training faster and more reliable. Simulations show it achieves very high accuracy and reduces training time significantly.
  5. LCSS Based Sybil Attack Detection and Avoidance in Clustered Vehicular Networks
    This project focuses on making road networks safer for connected vehicles. It detects malicious vehicles, called Sybil nodes, that send fake messages and disrupt traffic systems. The method uses a cluster-based network and compares signal patterns to spot attackers. It improves detection speed, accuracy, and reduces false alarms compared to older approaches.
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How We Help You with Time Series Analysis Projects

At Final Year Projects, we provide complete guidance for Time Series Analysis 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.

Time Series Analysis Project Synopsis & Presentation

Final Year Projects helps prepare Time Series Analysis 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.

Time Series Analysis Project Thesis Writing

Final Year Projects provides thesis writing services for Time Series Analysis 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.

Time Series Analysis Research Paper Support

We offer complete support for Time Series Analysis 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 Time Series Analysis projects. Get support for coding, reports, theses, and research publications. Contact us via email, phone, or website form and start your project with confidence.