Syllabus
Week 1: Orientation & Domain Finalization
- Capstone expectations, evaluation criteria
- Identification of problem domain (Cybersecurity, Healthcare, Finance, etc.)
- Discussion of current research trends
Week 2: Problem Statement & Proposal Draft
- Problem definition and objectives
- Initial literature exploration using IEEE / Springer
- Proposal submission (Title + Abstract + Methodology outline)
Week 3: Literature Review & Gap Analysis
- Review of 5–10 research papers
- Identification of research gaps
- Finalization of methodology
Week 4: Dataset Identification & Acquisition
- Dataset selection (e.g., public repositories, APIs)
- Data understanding and structure analysis
- Ethical considerations and data privacy
Week 5: Data Preprocessing
- Data cleaning, missing value handling
- Outlier detection and normalization
- Feature engineering basics
Week 6: Exploratory Data Analysis (EDA)
- Statistical summaries and visualization
- Pattern identification
- Correlation analysis
Week 7: Model Selection
- Selection of suitable algorithms from Machine Learning / Deep Learning
- Baseline model implementation
Week 8: Model Development – Phase I
- Training initial models
- Implementation using Scikit-learn
Week 9: Model Development – Phase II
- Advanced modeling (ensemble / neural networks)
- Use of TensorFlow or PyTorch
Week 10: Model Evaluation
- Performance metrics:
- Accuracy, Precision, Recall, F1-score
- Confusion matrix and ROC analysis
Week 11: Optimization & Tuning
- Hyperparameter tuning
- Cross-validation
- Model comparison and selection
Week 12: Deployment Planning
- API design (Flask/FastAPI)
- System architecture planning
- Introduction to cloud deployment
Week 13: Visualization & Dashboard
- Dashboard design using Power BI or Tableau
- Result interpretation
Week 14: Documentation & Report Writing
- Report preparation (IEEE format)
- Code documentation and GitHub submission
- Optional paper drafting
Week 15: Final Presentation & Viva
- Project demonstration
- PPT presentation
- Viva voce and evaluation