SMART ROUTE-BASED TRAVEL GUIDE USING LOCATION INTELLIGENCE
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Abstract
Traditional navigation tools prioritize fastest or shortest routes but rarely consider experiential travel (tourist attractions, food stops, scenic detours) that make journeys memorable. This work presents a “Smart Route-Based Travel Guide” that converts a route into an experience: it computes an optimized driving route, generates a 5–10 km route corridor, discovers points of interest (POIs) inside that corridor, and applies AI-driven scoring & filtering to present “route-aware, high-quality suggestions” under constraints of minimal detour and real-time availability. The prototype integrates Google Directions & Places APIs, geospatial buffering algorithms, and an AI ranking layer (Google Gemini) to produce context-aware recommendations displayed on an interactive map and list view. This paper details system architecture, algorithms (buffer generation, POI ranking), implementation considerations (tech stack, database schema, API handling), evaluation plan (Detour cost, user satisfaction), security and privacy measures, cost and deployment estimates, limitations, and future work. Prototype progress and demo link are documented in the project seminar materials.
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