docs/video_plan.md

Demonstration Video Plan (5-10 minutes)

1. Introduction (1 min)

• Goal: Introduce the Stock Market Prediction System.
• Visual: Slide with project title and architecture diagram.
• Script: "Welcome to the End-to-End Stock Market Prediction System. This project integrates FastAPI, Prefect, Docker, and ML models to predict stock prices and trends."

2. System Architecture & Code Walkthrough (2 mins)

• Goal: Show the code structure and key components.
• Visual: VS Code showing src/ folder, Dockerfile, and flows.py.
• Script: "Here is the project structure. We have data ingestion using Alpha Vantage, feature engineering, and training pipelines orchestrated by Prefect."

3. Data Ingestion & Orchestration (2 mins)

• Goal: Demonstrate Prefect flow.
• Visual: Run python src/orchestration/flows.py. Show terminal output and Discord notification.
• Script: "I'm triggering the data ingestion flow. You can see it fetching data, processing it, and sending a notification to Discord upon completion."

4. Model Training & Validation (2 mins)

• Goal: Show DeepChecks and Model Artifacts.
• Visual: Open reports/data_integrity.html and metrics.json.
• Script: "We use DeepChecks to validate data integrity. Here is the generated report. We also log model metrics like RMSE and Accuracy."

5. Deployment & API Demo (2 mins)

• Goal: Show the running application.
• Visual: Run docker-compose up. Open Swagger UI (localhost:8000/docs). Make a prediction request.
• Script: "Now let's run the system with Docker. The API is up. I'll send a request to predict the price of AAPL based on recent indicators."

6. Conclusion (1 min)

• Goal: Wrap up.
• Visual: Summary slide.
• Script: "In summary, we've built a robust, containerized ML system with automated testing and CI/CD."