Category: Uncategorized

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.