Inspiration
A lot of businesses have a hard time getting started and managing their costs. So I decided to make their lives easier by providing tools for them maximize their profit while minimizing their spending.
What it does
I have built 2 AI Models: Werben Sales Analytics and Werben Ad Analytics.
Werben Sales Analytics is a software that analyses sales data and gives precise information, with top notch predictions!
Werben Ad Analytics is a software that analyses advertisement data and gives brilliant advices for managing Ad costs while delivering superb Ads that captivate your viewers. Our state of the art ML model will save you a LOT of money.
How we built it
I built this AI model from scratch with state of the art AI algorithms like Catboost and XGBoost, 2 Gradient Boosting algorithms. For Data Processing and EDA(Exploratory Data Analysis) I used pandas, matlpotlib and numpy. I used a proven Walmart dataset to train the AI model so the results you get are actually reliable. I used streamlit for the frontend of the app.
Challenges we ran into
I had a few difficulties working on this project by myself, but I was still able to get through and finish it. A big roadblock was that the First implementation of Werben Sales Analytics had a a really ,really bad accuracy. But I was able to surpass that by using catboost and optimizing it 12+ times more precise than the original one.
Accomplishments that we're proud of
I was proud that I got the AI Models to work reliably and precisely. I am also proud that I managed to build this app by myself without any assistance.
What we learned
I learned a lot of things from this hackathon like the Catboost algorithm and a few ML techniques.
What's next for Werben
I want to keep tuning the AI models and eventually make other services and AI models with other datasets. I wanna make the UI feel more dynamic and eventually migrate the code from streamlit to django or flask.
Built With
- catboost
- matplotlib
- numpy
- pandas
- python
- scikit-learn
- streamlit
- xgboost

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