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Phase 1: Planning and Data Preparation (Weeks 1-4)
- Duration: Oct 1, 2024 – Oct 29, 2024 (4 weeks)
- Tasks:
- Week 1: Finalize project objectives and scope, identify stock market datasets.
- Weeks 2-3: Clean and preprocess data (handle missing values, normalize, etc.) and perform exploratory data analysis (EDA).
- Week 4: Set up the project web page.
Phase 2: Feature Engineering and Model Development (Weeks 5-10)
- Duration: Oct 30, 2024 – Dec 30, 2024 (6 weeks)
- Tasks:
- Week 5: Create technical indicators and conduct feature selection.
- Weeks 6-8: Implement and train baseline models (Linear Regression, Decision Trees, etc.).
- Weeks 9-10: Develop and train more complex models (e.g., LSTM networks).
Phase 3: Model Evaluation and Tuning (Weeks 11-13)
- Duration: Dec 31, 2024 – Jan 17, 2025 (3 weeks)
- Tasks:
- Week 11: Evaluate models using various performance metrics.
- Week 12: Fine-tune hyperparameters and optimize models.
- Week 13: Compare model performances and select the best model.
Phase 4: First Presentation Preparation (Weeks 14-15)
- Duration: Jan 18, 2025 – Jan 26, 2025 (1 week)
- Tasks:
- Prepare for the first presentation, including creating slides and rehearsing.
- Submit the detailed interim report by Jan 26.
Phase 5: Visualization and Final Implementation (Weeks 16-20)
- Duration: Jan 27, 2025 – Apr 21, 2025 (12 weeks)
- Tasks:
- Weeks 16-18: Develop interactive visualizations to present model predictions and implement the selected model in a prototype.
- Weeks 19-20: Conduct testing and final evaluation of the prototype, compile the final report.
Phase 6: Final Presentation and Project Exhibition
- Duration: Apr 22, 2025 – Apr 30, 2025 (1 weeks)
- Tasks:
- Print Project Exhibition poster
- Prepare for the Final presentation, including creating slides and rehearsing.