fix(machine_id): change the last processed id to dict to better get the

fix(algorithm): changing how the algo works

fix(lstm): change the algorithm for LSTM

remove the unnecassery logger

fix(app): fixing the logic of reseting the last processed id

fix(database): fixing so that ensuring the data that has already been

forgot to add sys

fix(app); fixing the logging to find out the duplication

feat(optimize): added startup to initailzie model instead of

fix(logging): fix some warning to not appear and switching the

fix(app); change the NULL to None

feat(database): added logger and create to a new database method

fix(app): update prediction endpoint to use binary prediction method

feat(model): added LSTM model

feat: new controller and databse connection

first application