**Backend:**
- Added a dictionary to manage running analyzers.
- Implemented logic to manage running analyzers.
- Added the `TerminateAnalyzerBackend` method to handle analyzer termination.

**Frontend:**
- Modified and invoked the `PublishStopRequestOnKafka` method.

- Thresholds, window_size, window_slider is added in Frontend and Backend.

- Added Kafka Request Listener to listen for requests from the Analytics Frontend.
- Updated `SparkStreamer.py` to consume and process streams from VALUE topics, and further filter rows based on KPIs in the `input_kpis` list.
- Updated the frontend TOPIC from `VALUE` to `ANALYTICS_REQUEST`.
- Updated messages to keep the KPI UUID consistent with the one generated by the Telemetry Backend service.

- Created the Analytic Engine, Model, and DB files.
- Added the DB connection.
- Added `add_row_to_db` in `StartCollector`.
- Added `delete_db_row_by_id` in `StopCollector`.
- Improved message formatting.
- Added a DB test file.

- Actul logic is added in StartAnalyzer method.
- Actual logic is added in StopAnalyzer method.
- Improvements in message formats.

- Added the Analytics Frontend client and service with no logic implemented yet.
- Added enums and ports for the Analytics frontend and backend in the constants.
- Added test files and messages.
- Added test execution scripts.