Customer-Advisor.

➊ This project is an attempt to suggest users which influencers use a particular brand based on the brand choosen by the user. There are several brands like Addidas, Puma, American Tourister etc.

➋ The dataset was collected from brand pages on instagram and startuptalky.com

➌ Using 𝐍𝐄𝐀𝐑𝐄𝐒𝐓 𝐍𝐄𝐈𝐆𝐇𝐁𝐎𝐑𝐒 algorithm of scikit learn influencers were extracted based on brand logos images.

Installation

To install the requirements(libraries) run the following
  • pip install -r requirements.txt
To run the streamlit application  run the following
  • streamlit run app.py

Libraries Used

Numpy Tesnsor Flow Pillow Pickle Scikit-Learn Streamlit

Screenshots

Website Link:link

REFERENCES

• https://scikit-learn.org/stable/modules/neighbors.html

• https://numpy.org/

• https://www.youtube.com/watch?v=AJKzWGOK54U

• https://towardsdatascience.com/understanding-and-coding-a-resnet-in-keras-446d7ff84d33?gi=125b8fc61df3

• https://docs.streamlit.io/

• https://keras.io/api/layers/pooling_layers/global_max_pooling2d/

• https://startuptalky.com/hrithik-roshan-endorsed-brands/

• https://www.youtube.com/watch?v=8qDXcD1-Z-o

• https://nycdatascience.com/blog/student-works/capstone/fashion-rec/