There is vicious circle at cafeteria
Overordering -> Over-food production -> A lot of leftover -> Excessive Food Waste Disposal Costs
The number of people who eat dinner on weekends is greatly reduced, while food production remains unchanged.
This leads to a lot of leftovers.
However, the chef cooked according to the number of people scheduled for the official dinner.
To solve this problem, let's find out how many people are actually going to eat dinner using DeepLearning.
Predictions will be effective if only certain patterns are found in cafeteria
This program consists of several services that interact each other
- Docker Engine version >= 19.03
- Docker Compose version >= 1.27.4
- Install docker follow below posts depends on your os
- Docker Compose Installation (Don't need at already installed)
$ cd scripts
$ ./install_docker-compse.sh- Flask
- SQLAlchemy
- Mysql ( >= 8.0)
- HA Proxy
- Compose Database
IF you use wsl or codespace, checkout branch to wsl or codespace
$ cd database
$ docker-compose up -d --build
# Load Database Scheme
$ docker exec -i main_master_db mysql -u root -pIz0ne!!!! friday < friday.sql- Further scheduled
- Pyo Sehun ([email protected]), Github Id: kohari0912
- Jeong Deokho ([email protected]), Github Id: l0vey0u
This software is licensed under the Apache 2 license, quoted below.
Copyright 2020. Team IRIS
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this project except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.