Eventify

Inspiration

Wanted to utilize multiple APIs to create a fun and unique application that anyone can use

What it does

Gives event recommendations based on the users facial emotions

How we built it

Used Microsoft's Face and Emotion API to return 8 inputs into our neural network which would then give acceptable search queries for the Seat Geek API. With the returned events from our query, they would be plotted on an interactive map with clickable annotations which would bring you to the Seat Geek mobile site where the users can purchase tickets directly.

Challenges we ran into

Merging different teammates work to create a fluid application with a satisfying UI and UX Implementing ANN in Java

Accomplishments that we're proud of

Generated appropriate heuristics through team collaboration and discussion Gathered sufficient training data for the neural network to train and get desired outputs Successfully connected all necessary APIs to work together smoothly.

What we learned

Utilizing different APIs Learned how to dynamically allocate stack memory space based on required/necessary neural network input, output data and depth of learning

Built With

• android
• ann
• emotion-api
• face-api
• google-maps
• java
• machine-learning
• microsoft-cognitive-services
• python
• seat-geek-api