As part of my collaboration with Wildlife.LA, I had the opportunity to develop a unique application combining the expertise of a professional mixologist and artificial intelligence to create an innovative cocktail generation experience.
The Project
AWS Bartender Mixologist was born from the fusion of human expertise and cutting-edge technology. By collaborating with a professional mixologist, we created a system capable of generating authentic and creative cocktail recipes.
Concept and Innovation
Mixology Expertise
- Close collaboration with a professional mixologist
- Definition of cocktail creation rules and principles
- Validation of ingredient combinations
- Ensuring feasibility of generated recipes
Artificial Intelligence
- Generation system based on mixology expertise
- Flavor combination analysis
- Proportion adaptation
- Personalized suggestions based on preferences
Technical Architecture
Cloud Infrastructure
- Deployment on AWS with serverless architecture
- Use of AWS Bedrock for AI
- Data storage in DynamoDB
- Media management via S3
Frontend Application
- Interface developed in Next.js
- Intuitive user experience
- Interactive recipe visualization
- Filters and preferences system
Robust Backend
- RESTful API for recipe generation
- Composition validation system
- Ingredient constraint management
- Intelligent caching of popular recipes
Generation Process
- Preference Analysis
- User tastes
- Specific constraints
- Desired complexity level
- AI Generation
- Use of mixology rules
- Combination validation
- Proportion adjustment
- Validation and Refinement
- Feasibility verification
- Proportion optimization
- Presentation suggestions
Technical Stack
Frontend Cloud AI DevOps
- Next.js - AWS S3 - AWS Bedrock - GitHub Actions
- React - DynamoDB - Claude 3.5 - Terraform
- TailwindCSS - Lambda - Vercel
