TinderMeDinner

Short description: With TinderMeDinner we aimed to solve a critical issue in social good by encourage the increase of human interaction through food. There are so many types of food and so little time in a day to enjoy it all and sometimes you honestly don’t know what to eat. TinderMeDinner aims to solve this hunger confusion with our patented food-algorithm which will specially match you with your food craving.

Inspiration a. Dinner is one of the hardest questions with your significant others or friends. We wanted to create a mobile application which would solve that issue with a food-algorithm which would help generate a list of places to eat pertaining to the likes of food the user clicks.
What it does a. The mobile app prompts the user with some simple questions to gauge the level of hunger, nutrition, price, and time they would like to have. With these inputted data, images will populate that pertain to the level of food the user desires.
How we built it a. We used Android studios to make a mobile application for the android platform. We also used firebase to house the database of our food images, opening times of restaurants, food prices and the healthiness for each restaurant.
Challenges we ran into a. One of a huge challenge we faced was building the database to populate images and the algorithm which would correlate the user input with suggested images. The implementation of the database was unsure due to the lack of knowledge in API and online database. The meta data to correlate images to the user cravings was also a challenge.
Accomplishments that we’re proud of a. We are very proud of the mobile app that we have made to every aspect. We tried very hard to make the user experience enjoyable and meet their food needs in all aspects.
What we learned a. We learned that trying to learn about photo recognition and online database was not a one day kind cram. The more you learn about programming, the less you feel like you know.
What’s next a. Next will be to see how we can increase the impact of this mobile app so that it can be used to help local business or even home businesses if they choose to sell food and encourage healthy eating.
Built with a. We built the website off bootstrap and the mobile application on Android Studios.
Try it out a. We hope everyone tries it out and it meets their food need. MisoHungry how about you?

Built With

Submitted to

HackFresno
- Winner Best Use of Adobe Tools (Sponsored by Adobe)

Created by

I took the UI activity.xml and built the app engine. I used Firebase UI to implement authentication for Google, Facebook, and email.
I then did some touchups on the questionnaire activity which would collect user input information. After that, I would populate the random food activity by passing storage images and database information to the new Intent. I generated a random number generator for the maximum food types from the database. I did not have time to implement the filter from the questionnaire but the implementation from above was mostly learned that day.
I helped my team by guiding them on how to purchase a domain, host on AWS S3 for static website, edit existing Bootstrap website templates.
The assets my team designed (images, icons, database information) was very helpful. I gave supportive advise and listened to concerns, which made the teamwork evolve smoothly and progressively.
This was a great experience. My strength is in web app with Javascript, so Android was a big challenge for me and my team. However, we overcame most of these obstacles and managed to demo both our website and Android app successfully.

Paul Delgado
I worked pretty much on just the overall Ideas and designing concepts including the website. The real manpower here was Paul and Johnny. I have never been to a Hackathon before HackFresno, and I learned a ton about making apps on ios and Andriod!

Sandor Menyhay

Updates

Paul Delgado started this project — Apr 15, 2017 08:46 PM EDT

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