Fashion Consultant AI Agent

Pain Point

I often check multiple shopping websites before buying a product. However, the process of comparing products across multiple shopping websites can be tedious and time-consuming. I have to manually search for the same product on different websites, compare prices, check availability, and read reviews. This repetitive task not only consumes a lot of time but also increases the chances of missing out on the best deals.

Solution

To address this pain point, I developed the browser-use-shopping-agent. This tool allows users to send the same query to multiple shopping websites and display the results in a single interface. The agent leverages the power of AI models and browser automation to streamline the shopping experience.

Installation

1. Get OpenAI API key here. . Or a Google Gemini key here.
2. Install packages

pip install browser_use streamlit dotenv
pip install openai

playwright install # installs browsers

Usage

Clone this repo: https://github.com/prerakmody/browser-use-shopping-agent.

And then run the following commands

streamlit run main.py
# OR
streamlit run main.py --server.address 0.0.0.0

A simple streamlit app to set search parameters.

Next Steps

Currently this process is a bit time-consuming so there is definitely some scope to evolve this.

Finally, kudos the the Browser-Use (link) team for releasing such a cool repo!