Report section: 
Title Page
    • Title: Term Project
    • Authors:  Saksham Lakhera and Ahmed Zaher
    • Course: CSE 555 — Introduction to Pattern Recognition
    • Date: July 20 2025
Abstract
  • One concise paragraph summarizing the problem, method, key results, and significance
Keywords (optional)
  • 4 – 6 technical terms that index your paper (e.g., “pattern recognition, machine learning, CNN, EEG”)
Introduction
  • Problem statement and motivation
  • Objectives and contributions
  • Outline of the paper
Background / Related Work
  • Survey of prior methods and the state of the art
  • Clear positioning of your approach relative to existing literature
Dataset and Pre-processing
  • Data source(s), collection or selection criteria
  • Cleaning, normalization, augmentation, class balancing, etc.
Methodology
  • Theoretical foundations and algorithms used
  • Model architecture, feature extraction, hyper-parameters
  • Assumptions and justifications
Experimental Setup
  • Hardware / software environment
  • Train / validation / test split, cross-validation strategy
  • Evaluation metrics (accuracy, F1-score, ROC-AUC, etc.)
Results
  • Quantitative tables and charts
  • Qualitative examples (e.g., confusion matrix, sample outputs)
  • Statistical significance tests where applicable
Discussion
   • Interpretation of results (why methods worked or failed)
   • Comparison with baselines or published benchmarks
   • Limitations of your study
Conclusion
   • Recap of contributions and findings
   • Practical implications
Future Work
   • Concrete next steps or open problems
Acknowledgments (if appropriate)
   • Funding sources, collaborators, data providers
References
   • Properly formatted bibliography (IEEE, APA, etc.)
Appendices (optional)
   • Supplementary proofs, additional graphs, extensive tables, code snippets