• E SAI MANIDEEP
• B VISHAL
• A NAVEEN
• Y.SOWJANYA

An abstract for accommodation based on geolocation data could describe the use of location-based technologies and data to help travelers find suitable accommodation options. By analyzing geolocation data, such as the user's current location, preferred travel destinations, and past travel behavior, a travel platform could provide personalized recommendations for hotels, vacation rentals, and other types of accommodations that meet the user's needs and preferences. This project uses K-Means Clustering to find the best accommodation for students by categorizing accommodation based on their preferences for facility, budget, and proximity to the location. To retrieve, clean, analyze, and run K Means Clustering on geo-located data in order to recommend accommodations to incoming students in a city.

"ACCOMMODATION SUGGESTION BASED ON GEOLOCATIONAL DATA USING MACHINELEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.e563-e571, March-2023, Available :http://www.jetir.org/papers/JETIR2303470.pdf

"ACCOMMODATION SUGGESTION BASED ON GEOLOCATIONAL DATA USING MACHINELEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppe563-e571, March-2023, Available at : http://www.jetir.org/papers/JETIR2303470.pdf