Full-Stack AI-Enabled Online Food Delivery Application with Predictive Analytics

PinsoutFoodtech / Artificial Intelligence / Full-Stack Development / Predictive Analytics / Mobile & Web Applications
LocationRemote
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Project Objectives:

Develop a full-stack mobile/web application that predicts popular dishes, optimizes delivery routes, and analyzes user trends using AI.

Project Tasks:

Design front-end for menu browsing, cart, and order tracking.

Develop back-end databases for users, restaurants, orders, and deliveries.

Implement secure login and authentication.

Preprocess order history and delivery data for AI modeling.

Apply ML algorithms for dish recommendations and route optimization.

Build dashboards for analytics and performance monitoring.

Implement notifications for order updates.

Conduct testing for AI accuracy, usability, and performance.

Document full-stack architecture, AI workflow, and deployment guide.

Educational Qualifications

B.TechB.EBCAMCA

Required Skills

Full-Stack DevelopmentFinancial Data Visualization & DashboardsDatabase Design & Management –Machine Learning & Predictive Analytics (Regression, Classification, Model Evaluation)Web Security & Authentication Protocols (Mfa, Oauth, Saml, Jwt)