Added sri_pipelines.md with API resources and control flow

TODO_PIPELINES/sri_pipelines.md

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+Sports:
+* https://www.mysportsfeeds.com/
+* https://www.thesportsdb.com/
+* https://developer.sportradar.com/getting-started/docs/get-started
+
+Finance:
+* https://www.alphavantage.co/
+* https://finnhubio.github.io/
+* https://developer.yahoo.com/api/
+
+Control flow:
+1. Data Retrieval
+- Python scripts to fetch sports and market data from the API
+- Store the API responses in a database (MongoDB)
+
+2. Data Extraction/Processing
+- Extract relevant features such as player information, team statistics, market data, etc (using Numpy and Pandas)
+- Store the tables using AWS if needed
+
+3. Model Training
+- Model training logic, weights assignment and updating, etc.
+- Scikit-learn and TensorFlow
+
+4. Model Deployment
+- Flask or FastAPI for real-time predictions given a user request
+
+5. Frontend
+- React.js and Next.js to allow users to pick between sports and finance markets, input queries, view predictions, and visualize trends
+- No need for user accounts and login/logout authentication (yet)
+
+Potential additions:
+After an event predicted by the model occurs, retrain the model based on the result of the event.