AI-powered restaurant and menu intelligence
Tasco · Posted 2 months ago
Automotive and mobilityDocument Intelligence
- Budget
- To be determined
- Timeline
- Not specified
- Closed on
- 31 Jul 2026, 16:59 ICT
Problem statement
Restaurant and menu information is unstructured, image-heavy, incomplete, and difficult to search by dishes or preferences.
Expected outcomes and success metrics
- Improve food discovery and menu search.
- Extract menu items and prices from images/PDFs.
- Answer restaurant and menu questions.
Data availability and readiness
Sample Restaurant POI Dataset with restaurant names, locations, addresses, categories, and basic information.
Sample Menu Dataset with restaurant menus in image and PDF formats.
Sample Food Image Dataset for dish recognition.
Sample Restaurant Reviews for sentiment analysis.
Developer Documentation.
Mock APIs for restaurant search and POI APIs.
Mock Services: sample API responses and testing environment.
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*Track: Mobility | Sponsor: Tasco | Slug: mobility:restaurant-menu | Source: Agentic AI Build Week 2026 — Production snapshot 2026-08-11*
Integration, deployment and infrastructure
Data Collection Layer: collect restaurant information from multiple sources.
OCR & AI Extraction Layer: extract menus, dishes, prices, and structured attributes.
Restaurant Intelligence Layer: generate restaurant profiles, menu knowledge, summaries, cuisine classification, and quality scores.
Recommendation Engine: personalized restaurant and food recommendations.
AI Assistant Layer: conversational restaurant assistant.
Integration Layer: integration with VETC travel and local discovery services.
User Interface: restaurant discovery and AI assistant experience.
Relevant AI technologies
Document Intelligence