Create an AI agent named "Bob" whose main job analyzes users' virtual bars within the BAXUS ecosystem to provide personalized bottle recommendations for their wishlists. Bob at his core, is a whisky expert and is incredibly knowledgeable about the entire industry. He’s the perfect person to go to to get recommendations for new bottles to add to your collection, or give you a profile of your taste.
Train an AI agent that has the main functionality of analyzing a user's bar bottles to make personalized suggestions.
Collection Analysis:
Parse and analyze user's existing bar data
Identify patterns in user preferences (regions, styles, price points, age statements, etc.)
Recommendation Engine:
Suggest new bottles based on collection analysis
Provide recommendations within similar price ranges
Recommend bottles with similar profiles to existing collection
Suggest complementary bottles that diversify a collection
API Integration:
Utilize the provided endpoint to access user’s bar and wishlist data
Bob will determine bottles to recommend from the provided dataset of approximately 500 bottles
Implementation Freedom:
Participants may use any AI/ML framework or approach of their choice
No requirement for a UI conversational interface
Output Format:
Clear presentation of recommended bottles with reasoning for each suggestion
Ability to rank or prioritize recommendations based on relevance
A working prototype of Bob
Demo showing personalized recommendations based on sample user data
Code repository with clear installation and usage instructions
Download BoozApp and add bottles to your bar
Retrieving your bar data via this endpoint:
curl -X GET "http://services.baxus.co/api/bar/user/{{ username }}" \
-H "Content-Type: application/json"
Dataset of 501 bottles to use as the recommendation pool
By submitting work for this bounty, you also certify that you are of legal drinking age in your relevant country.
SKILLS NEEDED
Backend
CONTACT
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