Inspiration
Our inspiration started while we thinking about the theme of this hackathon and suddenly we had a thought in our minds like how we take care of our pets in our daily routines, do we feed them well, do we make them exercise daily, and also do we actually know about their breed or not. Also, some of the people know all the things we mentioned but in there are very few people who know them well. So that is the reason and the inspiration comes to our mind to create a web application where a person can know which breed his pet belongs to and also after getting know to it he/she can also get to know about the diet of his pet also.
What it does
This platform will provide user a feature where he or she can go and click on a button to start the model where they can the type of breed of their breed and also there is a second button where they can get to know about the diet plan of that respective pet.
How we built it
We built this using HTML, CSS, Keras, JS, and some datasets which are to be fed inside the model to train.
Challenges we ran into
The biggest challenge for us to get started with TensorFlow and Keras as we don't have any idea about them so what we did was learn about the functionalities and the libraries that we want to use and act and use them accordingly. After that, the main part is the configuration which we fail to configure due to incompatibility issues and that's why we just uploaded the model file and uploaded the model on a cloud and redirected it to a button on our webpage.
Accomplishments that we're proud of
Although what we wanted to make we can't make that all out but we are proud of using the library after understanding its usage accordingly and getting to know a lot about how docs are the better explanation to use any technology make us a lot proud in ourselves.
What we learned
- Usability of TensorFlow and Keras
- Compatibility issues Reslovement
- How Datasets are feed in a model
- Configuration management
What's next for AnimaCare
- Some more features for the user
- Interactivity
- More Animals datasets inclution
Built With
- css3
- html5
- javascript
- keras
- ml
- tensorflow
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