Created by: Anuj Kumar Gupta, Bijayan Bikram Prajapati, Bishwo Gautam Shah, Sudin Rupakheti
About the Project
Small restaurants in Nepal often rely on paper menus and manual order-taking, which slows service, causes order errors, and leaves owners with no real insight into what customers actually think of their food. DineQR solves this with a QR-code-based digital ordering platform that lets diners scan a code at their table, browse the menu, and place orders directly from their phone and no app download required. Beyond ordering, DineQR gives restaurant owners an AI-powered insight dashboard: customer feedback is automatically analyzed using sentiment analysis (VADER) to surface what’s working and what isn’t, with semantic search planned to help owners query feedback in plain language. Built for small and mid-sized restaurants in Nepal and the customers who eat there, DineQR removes the friction of manual ordering while turning scattered customer feedback into decisions owners can actually act on. The platform is built on Django, combining a practical, low-cost digital ordering experience with real AI-driven business intelligence that’s normally out of reach for small food businesses. By unifying ordering and insight-generation in one lightweight tool, DineQR helps small restaurants modernize service and improve their offering, without the cost or complexity of enterprise POS systems.
Key Features
- Lightweight, No-App Experience
- QR Code Digital Ordering
- AI-Powered Sentiment Insights
- Semantic Feedback Search
- Restaurant Owner Dashboard