AI PLACE FINDER

Abstract The AI Place Finder is a web application built on top of the MERN stack (MongoDB, Express. js, React. js, Node. js) which simplifies and personalizes travel planning by using Artificial Intelligence and real-time data. It requires users to input their preferences (like where to go, how many people will be with you and what the budget will be), and is based on the Gemini AI API. With the help of one’s preferences in order to show the most appropriate places to visit, the app makes recommending travel destinations easier and more personal. In addition, the app integrates with Google Maps and Google Photos, so the places are shown interactively through photo-and-graphic visualization. Key Features include password secure and OAuth authentication, interactive user interfaces for multi- device collaboration and responsive design. It provides an advanced system that’s scalable in terms of performance. The developers optimized the use of the API’s and implemented an architecture that maximizes web service performance. Upcoming features include user-generated reviews for each destination, hotel and flight booking integration, offline access (via IP) and multilingual content. Key Words: MERN stack, Artificial Intelligence

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-15
DOI
https://doi.org/10.55041/ijsrem48026
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

AI PLACE FINDER

Gedela Triveni
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
AI in Service Interactions
article

AI PLACE FINDER

Gedela Triveni
article en

Abstract

Abstract The AI Place Finder is a web application built on top of the MERN stack (MongoDB, Express. js, React. js, Node. js) which simplifies and personalizes travel planning by using Artificial Intelligence and real-time data. It requires users to input their preferences (like where to go, how many people will be with you and what the budget will be), and is based on the Gemini AI API. With the help of one’s preferences in order to show the most appropriate places to visit, the app makes recommending travel destinations easier and more personal. In addition, the app integrates with Google Maps and Google Photos, so the places are shown interactively through photo-and-graphic visualization. Key Features include password secure and OAuth authentication, interactive user interfaces for multi- device collaboration and responsive design. It provides an advanced system that’s scalable in terms of performance. The developers optimized the use of the API’s and implemented an architecture that maximizes web service performance. Upcoming features include user-generated reviews for each destination, hotel and flight booking integration, offline access (via IP) and multilingual content. Key Words: MERN stack, Artificial Intelligence

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Centurion University of Technology and Management (IN)
Openalex Percentile: Top 95%
AI in Service Interactions
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