Restaurant ReAct Agent

A FastAPI-based AI agent that parses user conditions, calls restaurant search/filtering tools, and generates explainable recommendations.

• Tech focus: implementation, interaction design, backend/API structure, and project delivery
• Repository or reference: https://github.com/eecczz/restaurant_recommend_agentAI

Key Implementation Points

ReAct Loop

Interprets requests, calls tools, observes results, and generates final recommendations.

Search Tool

Uses Kakao Local API and a sample dataset for regional restaurant search.

Filtering and Recommendation

Reflects price, context, and review conditions to provide explainable recommendations.