TensorFlow Project Showcase aims to encourage everyone to explore the possibilities of Machine Learning using TensorFlow, an end-to-end open source platform for machine learning. This initiative aims to showcase Filipino talents in building applications that uses the capabilities of Machine Learning.

Mechanics
- Participants can either be individuals or teams. Teams should consists of not more than three (3) members.
- Participants can submit multiple entries provided that all of them meet the eligibility criteria/ requirements.
- Participants must completely fill out and submit the Project Submission Form. The extended application deadline is on March 19, 2021.
- Applications submitted should be your own original work and haven’t been submitted to any contest. You can submit past projects or you can completely build a new one.
- Applications submitted to the contest should be publicly accesible via web or mobile, and must be an open-source project. Code should be uploaded to any publicly acessible repository such as Github.
- The winner will be selected based on a panel judging and public votes.
Judging Criteria
- Functionality (30%): Does the app work? Did the team achieve the goal they defined? Was the solution innovative?
- Technology (40%): How technically impressive was the app? Was the app built difficult? Did it use a particularly clever technique? Did the technology involved make you go “Wow”?
- Design (20%): Did the participant put thought into the user experience? How well designed is the interface?
- Public Vote (10%)
Prizes
- Winners will receive a support to take TensorFlow Developer Certificate which is worth 100USD
- All accepted applications will also get a chance to win prizes such as Google Home Mini and Chromecast through our raffle!
Contest Schedule
| Date | Activity |
|---|---|
| October - November 2020 | Training and Workshop |
| March 19, 2021 | Extended Deadline of Application Submission |
| March 22 - 26, 2021 | Panel Judging and Public Voting |
| March 27, 2021 | Networking Event |
| March 28, 2021 | Announcement of Winners |
Trainings and Workshop
| Training Module | Speaker | Recording Link |
|---|---|---|
| Building your First Neural Network on TensorFlow | Rodolfo Ferro | YouTube Facebook |
| Image Classification in TensorFlow | Rodolfo Ferro | YouTube Facebook |
| Sequences, RNN in TensorFlow | Yogesh Kulkarni | YouTube Facebook |
| Building a TensorFlow Lite App | Henry Ruiz | YouTube Facebook |
| Text Classification in TensorFlow | Thierno Ibrahima | YouTube Facebook |
Resources
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