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# System prepended metadata

title: 30/01/2023 - Daily Report

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> Daniel Andrew (TEEP)
## Goals
:::success
- [x] Finish Data Scraper to Retrieve RSSI Data
- [x] Create Deep AutoEncoder Model for Modelling
:::

## Report
Data Crawler core functions (establish_session and retrieve_rssi data from ARUBA API Interface) have been created and delivered to Dio for testing. The code may require further development as the testing environment isn't provided yet.
In addition, Deep AutoEncoder model as the baseline for other modelling method is finished.

## Comment

## Further Plan
1. Deliver Data Crawler to Dio for Testing
2. Create Regression and Classification Model using the Deep AutoEncoder as baseline model