Week of September 30, 2024

• Started academic literature review on financial forecasting and machine learning in capital markets.
• Investigated technical feasibility of ML based forecasting models.
• Attended seminar: "Introduction to CS491-2 Senior Design Project" by Selim Aksoy.

Week of October 6, 2024

• Reviewed existing financial forecasting approaches used in academic literature.
• Explored relevant NASDAQ datasets for model development feasibility.
• Attended seminar: "Atakan Erdem and Mert Bıçakçı Introduction" by Atakan Erdem and Mert Bıçakçı.

Week of October 20, 2024

• Explored data cleaning and formatting methods suitable for time series financial data.
• Tested basic data visualizations (e.g., income trends, moving averages)
• Attended seminar: "Innovation Life Cycle" by Atakan Erdem.

Week of October 31, 2024

• Assessed potential backend structure for serving financial datasets to ML modules.
• Attended seminar: "The Role of Documentation in (OO) Software Development" by Uğur Doğrusöz.

Week of November 3, 2024

• Assisted in dataset preprocessing and validation with other team members.
• Collaborated on structuring cleaned reports into usable formats for modeling.
• Attended seminar: "La Chanson de Shannon: Shannon's Song" by Fazlı Can.

Week of November 10, 2024

• Contributed to initial model architecture ideas for predictions.
• Participated in group sync to plan baseline feature set and early evaluation metrics.
• Attended seminar: "Tools and Processes in Software Development Lifecycle" by Murat Ergun.

Week of November 17, 2024

• Assisted team members on integrating early scraping utilities for report extraction.
• Reviewed and integrated Python-based stock price fetcing libraries to support later analysis modules.
• Attended seminar: "Technology Entrepreneurship and Investment Ecosystem" by Numan Numan.

Week of November 30, 2024

• Helped clean and verify quarterly data consistency across multiple companies.
• Continued backend planning discussions to support real-time prediction updates.
• Attended seminar: "AI-Driven Mobile Apps: Building Profitable Solutions on a Budget" by Melih Gurgah.

Week of December 7, 2024

• Outlined backend endpoints for prediction and report suggestion workflows.
• Tested dummy input-output connections for future frontend-model-backend flow.
• Drafted first proposal of task division for backend-related modules.
• Attended seminar: "Computational Law" by Dilek Küçük.

Week of December 14, 2024

• Started working on FastAPI and created backend structure.
• Worked on first deployment trials of frontend and backend.
• Attended seminar: "Bitcoin's First ZK Rollup" by Murat Karademir and Ömer Talip Akalın.

Week of December 21, 2024

• Conducted SHAP analysis for model interpretability and feature importance.
• Initiated hyperparameter search for LSTM model performance tuning.
• Applied correlation-based feature ranking and elimination strategies.
• Participated in weekly meeting with Prof. Altay Güvenir and project meeting with Atakan Erdem; attended senior design seminar.

Week of December 29, 2024

• Worked on implementing RSI and Stochastic K% analysis modules into backend.
• Continued LSTM hyperparameter tuning.
• Participated in weekly meeting with Prof. Altay Güvenir and project meeting with Atakan Erdem; attended senior design seminar.

Week of January 31, 2025

• Added financial reports and metadata to backend database schema.
• Finalized database schema with indexing for report types, document dates and users.
• Participated in weekly meeting with Prof. Altay Güvenir.

Week of February 7, 2025

• Refactored backend architecture for modularization of forecasting and reporting services.
• Created relational structure to manage followed company lists per user.
• Added admin-specific backend functionalities including dashboard views.
• Participated in weekly meeting with Prof. Altay Güvenir.

Week of February 14, 2025

• Implemented key backend-admin features: issue viewing, user role controls, and report deletion.
• Set up unit and integration testing frameworks using pytest and httpx.
• Verified backend endpoints via automated CI/CD pipelines on GitHub.
• Attended seminar: "Innovation Life Cycle" by Atakan Erdem.

Week of February 21, 2025

• Integrated stock prediction model outputs into backend forecast API.
• Built endpoints for retrieving model results and feeding into frontend components.
• Worked with Adil to improve CI/CD pipeline.

Week of February 28, 2025

• Connected prediction model output with React frontend using Axios and RESTful endpoints.
• Deployed FastAPI backend and model inference service to Azure App Service.
• Conducted end-to-end testing from frontend user actions to backend model inference pipeline.

Week of March 7, 2025

• Tried to automate data retrieval for daily financial updates using yfinance and schedule module.
• Ensured periodic task execution via cron triggers locally.
• Validated real-time stock data updates against predicted outputs for synchronization.
• Investigated different ways of deploying ML models on Azure (using Kubernetes and Azure VM).

Week of March 14, 2025

• Implemented net income actual vs predicted comparison logic in backend.
• Visualized historical accuracy and model drift over quarterly intervals.
• Contributed to frontend dashboard section displaying this comparison to users.

Week of March 31, 2025

• Contributed frontend interface for issue submission from users and resolution by admins.
• Created backend ticketing system to handle feedback, bug reports, and resolution tracking.
• Tested submission flow and admin resolution process end-to-end.

Week of April 7, 2025

• Added password change functionality to backend and integrated into profile settings UI.
• Implemented frontend form validations for secure password handling.
• Created backend "Watchlist" feature.
• Validated token authentication during password update operations.

Week of April 14, 2025 till Week of May 3, 2025

• Continued implementing backend route to fetch logged-in user info.
• Connected user data across components for personalized dashboard rendering.
• Ran final update on main dataset and ensured schema consistency with all modules.
• Finalized backend routes.

Week of April 21, 2025

• Optimized backend API response times through caching and query optimization.
• Wrote comprehensive API documentation using Swagger/OpenAPI.
• Conducted stress testing and identified bottlenecks in the prediction service.
• Resolved final bugs in user authentication and permission systems.

Week of April 28, 2025

• Prepared final system architecture diagrams for project documentation.
• Created detailed deployment instructions for future maintenance.
• Assisted in preparation of final demo materials and presentation slides.
• Conducted final end-to-end testing of all system components.
• Participated in final project presentation rehearsal.