About this project
RIVA (Ride Intelligence & Virtual Assistance) is an AI-powered mobility copilot designed to make urban transportation smarter, safer, and more personalized. Unlike traditional ride platforms that only display fares, RIVA understands user intent, analyzes travel requirements, and provides intelligent recommendations through natural language conversations. Built using MCP (Model Context Protocol), RIVA connects multiple mobility services, mapping intelligence, and AI-driven decision-making into a unified assistant. Users can simply describe their journey, and RIVA can compare ride options, optimize routes based on travel time and traffic conditions, estimate fares, and recommend the best choice based on price, availability, preferences, and convenience. RIVA introduces an AI Travel Concierge experience where users can plan complete journeys instead of only booking rides. For example, a user travelling to an airport can ask RIVA to plan their trip, and the system can determine the ideal departure time, analyze traffic conditions, suggest suitable rides, estimate future fares, and provide a complete travel plan. The platform enhances mobility through features such as map-based ride visualization, traffic-aware route optimization, multi-stop trip planning, simulated carpooling, future fare prediction, safety assistance with emergency location sharing, and simulated booking workflows. RIVA also provides a Driver Intelligence mode that helps drivers make smarter decisions by analyzing ride profitability, estimating earnings, identifying high-demand areas, and recommending better ride opportunities. By combining conversational AI, MCP-based orchestration, predictive analytics, and mobility intelligence, RIVA creates a next-generation transportation ecosystem that improves convenience for passengers and efficiency for drivers.
Enterprise AI & Workplace Automation track
Develop AI agents and automation tools that improve productivity, streamline workflows, and enhance business operations.