Presto - Dhruv Shah

The Problem

Traditional restaurant customer service faces significant challenges in the digital age. Manual menu processing, limited accessibility to nutrition information, and the inability to provide personalized recommendations create friction in the ordering experience. Restaurants need a modern solution that can automate menu processing and provide intelligent customer service.

Manual Menu Processing

Restaurants struggle with manually digitizing PDF menus, which is time-consuming and error-prone. This creates delays in updating menu information and makes it difficult to provide accurate, up-to-date information to customers.

AI-Powered Solution

Presto revolutionizes this process by using Google Gemini AI to automatically extract menu items, prices, nutrition facts, and allergen information from PDF menus, creating intelligent customer service agents for each restaurant.

Key Features

Restaurant Management

Create and manage restaurant profiles with location and comprehensive menu information

PDF Menu Processing

Upload PDF menus and automatically extract menu items using Google Gemini AI

AI Customer Service

Generate intelligent customer service agents that handle orders and answer questions

Nutrition Information

Extract and store detailed nutrition facts, ingredients, and allergen information

Smart Recommendations

AI agents provide personalized recommendations based on dietary restrictions

Responsive Design

Modern, mobile-friendly interface optimized for all devices and screen sizes

How It Works

1

Restaurant Creation

Restaurants create profiles through the add-store interface, entering name, location, and uploading PDF menu files. Multiple PDFs can be combined for comprehensive processing.

2

PDF Processing Pipeline

PDFs are uploaded to the server, analyzed by Google Gemini AI, and menu items, prices, nutrition facts, and ingredients are automatically extracted and stored in Supabase.

3

AI Customer Service Generation

Each restaurant gets its own AI customer service agent that can answer questions about menu items, ingredients, allergens, and provide personalized recommendations.

4

Customer Interaction

Customers can browse menus, ask questions about ingredients and allergens, get personalized recommendations, and place orders through the AI agent.

Technical Architecture

Frontend - Next.js 15

React framework with App Router, Tailwind CSS for styling, and responsive design

Backend - Next.js API Routes

Serverless API endpoints for file uploads, PDF processing, and data management

AI Processing - Google Gemini AI

Advanced AI model for PDF processing and intelligent text extraction

Database - Supabase

PostgreSQL database with real-time capabilities for secure data storage

Deployment - Vercel

Fully optimized for Vercel deployment with in-memory file processing