DreamDrive
TAMUhack 2025 TFS Challenge Runner-Up
An AI-powered Toyota vehicle matchmaking platform that helps users find their perfect car through personalized recommendations and natural conversation.
🏆 Awarded 2nd Place for the Toyota Financial Services challenge at TAMUhack 2025, Texas A&M's largest hackathon
Key Features
DreamDrive combines artificial intelligence, user experience, and modern web technologies to create a unique car shopping experience.
Natural Conversation
AI-powered chat interface that understands user needs and provides personalized recommendations
Vehicle Matching
Sophisticated algorithm that matches users with their ideal Toyota vehicle based on preferences
Interactive Experience
Engaging onboarding flow with smooth animations and intuitive interface
User-Centric Design
Carefully crafted user experience that makes car shopping enjoyable and efficient
Modern Technology
Built with Next.js 15, TypeScript, and deployed to a custom AWS serverless stack
Beautiful Design
Modern, responsive design with smooth animations
Project Showcase
Take a look at the key features and interfaces that make DreamDrive unique.
Personalized Onboarding
Interactive questionnaire to understand user preferences
AI Chat Interface
Natural conversation with Toyota AI Assistant
Vehicle Recommendations
Personalized vehicle matches with detailed analysis
Vehicle Details
In-depth vehicle information and comparison
Technology Stack
Built with modern technologies and best practices for performance, scalability, and developer experience.
Frontend
- Next.js 15React framework with App Router
- TypeScriptType-safe JavaScript
- Tailwind CSSUtility-first CSS framework
- Framer MotionAnimation library
- shadcn/uiUI component library
Backend
- Vercel AI SDKAI integration toolkit
- OpenAIGPT-4 language model
- DrizzleORMTypeScript ORM
- PostgreSQLDatabase
Infrastructure
- AWSCloud services
- SSTAutomatic provision and deployments
- PulumiInfrastructure as code
- GitHubVersion control
