Objective An iOS app that adds more time to your day by pre-selecting a personalized outfit from your wardrobe days in advance based on local weather forecasts.
At the end of 24 hours, our project was awarded the Most Innovative/Quirky Hack out of 40 teams, and for best use of Google Cloud Platform. Our tech stack includes Google Cloud's Firebase and AutoML, Yahoo's Weather API, Xcode for application architecture, and Sketch for UX design.
Team Members:
- Yasin Ehsan (Project Manager/Front-end)
- Rageeb Mahtab (Back-end)
- Matthew Rodriguez (Back-end)
- Meng Shi (UX Design)
- Lu Meng (UX Design)
GIF created with LiceCap.
- (Team Collab 101) Google drive, git branch, Private Slack channels
- (UX)Wireframes
- (UI)View-Controller Setup
- (UI)Assets and Labels
- (Backend)Save outfits to Firebase
- (Backend)Weather API
- (AI)Give new clothing suggestions from Amazon based on usual outfit patterns
- Google Drive
- Slack * click on 'channels' for ui / backend specific chit chat*
- IBM Documentation
- IBM Walkthrough
- Google AutoML
- Connecting regular view-controller to tab view-Controller
- Git Branches and merge conflicts. We spent out night getting to the crux of this.
- Camera implementation.
© 2018 Forecast Fit
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file 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.