Inspiration
We took Inspiration from junglescout.com this web app is all amazon product-based analysis site.
What it does
Our Web app does the Products Analysis using pandas profile and gives user results in the format of graphs and charts as well as text
How we built it
we Built it using Python and some of its libraries like pandas and etc. we build the front-end part using streamlet
Challenges we ran into
there are many modules we try in this project but this is one of the challenges for us and getting many errors through it because it is part of machine learning and application building and we solve these errors successfully
Accomplishments that we're proud of
we did the analysis with the help of EDA and it is an opensource Application
What we learned
we learn how to use python models, then how we can use these modules in that particular format and way, we learn deployment of my project, we also learn pythons various modules and queries and how to handle it
What's next for Customer Requirement Analysis With EDA
we are trying to add some more features like customers can add their own data in products sentiment analysis, and they can grab results like what their customers feel about their products. this application is basically for sellers and retailers
Built With
- heroku
- natural-language-processing
- pandas
- python
- sklearn
- streamlit
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