Inspiration
To help users find the perfect gift for that special someone
What it does
- It's a chatbot to help users find gifts that are relevant to the recipient in an easy manner
How I built it
- Gather product data
- Clean and organize the product features
- Build product vector feature table
- Build the chatbot to gather the features from the user and use it to query the feature table to recommend products
Challenges I ran into
- Building a good chatbot takes time to make it robust to user requests
Accomplishments that I'm proud of
- Cleaning and organizing the dataset to build the feature table
- I realize I can scale the table to build better feature table to recommend better products
What I learned
What's next for gift finding chatbot
- Gather social media data to find product trends and customer demographics
- Build a bigger product feature table
- Improve the chatbot to be more engaging to the user, recommend social media posts that are related to the topic
Built With
- actions-on-google
- knn
- natural-language-processing
- python
- web-scrape
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