The power of data and how we can improve our life with it
What it does
This application has two main function for the moment which are :
- Predict whether an offer is beneficial to their clients.
- Classify the clients as trustworthy for loans or no. ## How we built it The application has passed by several process:
- Collecting dataset for the model training.
- Preprocessing data
- Training many models and selecting the best one (ANN)
- Deploying the model as "tflite"
- Designing UI/UX of the application, both for mobile and web version
- Building the app using Kotlin
- Adding authentication
## Challenges we ran into
- Finding the problem
- Collecting data
- Deploying the model ## Accomplishments that we're proud of
- New idea in Algeria for now.
- Solving the problem with modern technologies
- There's satisfying UI/UX design ## What we learned
- Problem solving.
- UI/ UX design
- How to deploy a model as tflite for Android ## What's next for Bank Offer Booster
- Adding more features and functionality
- Builsing the web version and improve it