AutoWhizz: Mercedes-Benz EV Consultant App

Combining AI with Mercedes-Benz’s innovation to enhance customer guidance in selecting electric vehicles, emphasizing sustainability.

• Overview: A Flask and React-based web application that acts as an AI consultant for Mercedes-Benz EVs, featuring OpenAI’s GPT models and FAISS vector stores for tailored vehicle recommendations.

• Key Features:

  • Data-Driven Recommendations: Uses extensive EV specifications for precise suggestions.
  • Interactive AI Chat: Employs OpenAI’s models for intelligent user interactions.
  • Session-Based Query History: Maintains dialogue history to personalize recommendations.

• Development:

  • Backend: Built with Flask; integrates LangChain with OpenAI’s GPT for natural language tasks.
  • Frontend: Developed in React for a dynamic and responsive user interface.

• Challenges: Achieving seamless integration of conversational AI with data stores; optimizing AI response times for better user engagement.

• Accomplishments: Successfully developed an AI-driven tool that transforms the car-buying experience, making it simpler and informative about the benefits of electric vehicles.

• Learnings: Enhanced skills in building interactive AI applications using advanced NLP and modern web technologies; mastered integrating backend AI with frontend systems for a cohesive user experience.