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@article{192220,
        author = {Varsha Negi and Mahika Rastogi and Riya Kumari and Ashu Kushwaha and Vandana Tripathi},
        title = {Travelara–Integrating Large Language Models, Retrieval-Augmented Generation, and Secure Social Computing for Personalized Travel Planning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {695-698},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192220},
        abstract = {Travel planning remains a fragmented and time-intensive task, often requiring users to move across multiple platforms to compare transportation, accommodation, sightseeing options, and activities. Most existing tools rely on generic recommendation logic that fails to capture individual preferences, contextual information, and the need for trustworthy social validation. Travelara addresses these challenges through an integrated AI-driven ecosystem that combines Large Language Models (llms) for natural language understanding and itinerary generation, Retrieval-Augmented Generation (RAG) for grounding suggestions in verified real-time travel data, and hybrid recommendation methods for personalized decision-making. The system further incorporates optimization and clustering algorithms to construct efficient travel routes that reduce time and financial cost. A key innovation is its.
Secure community module, which allows travelers to form verified groups, communicate through encrypted messaging, share experiences, and validate itineraries—creating a trusted social layer within the platform. Empirical evaluation shows that this combination of natural language intelligence, factual retrieval, personalized recommendations, and secure peer collaboration significantly improves itinerary quality, user satisfaction, and community trust. By merging advanced AI with secure social computing, Travelara offers a new standard for personalized, reliable, and socially connected travel planning.},
        keywords = {},
        month = {February},
        }