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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19463
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | HOUSE PRICE PREDICTION |
| Authors Name: | MS.HARSHITA , CHINMAY KANSAL , AYUSH KATIYAR , ADARSH KR. SINGH |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_200967
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| Published Paper Id: | IJRTI2504245 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | The House Price Prediction System leverages machine learning techniques to accurately estimate real estate property prices. It uses historical data, including property features (such as size, location, number of rooms, and amenities) and market trends, to train predictive models. Techniques like regression analysis and gradient boosting are employed to uncover complex patterns in the data, delivering reliable price forecasts. This system is designed for diverse users, including buyers, sellers, and real estate agents, helping them make data-driven decisions. It factors in dynamic elements such as inflation, neighborhood development, and local market trends to ensure adaptability. A user-friendly interface facilitates seamless interaction, displaying outputs through intuitive charts and insights. The platform provides comparative price analyses and market predictions to enhance decision-making. Its focus on transparency and accuracy aims to reduce inefficiencies and uncertainties in real estate transactions. The House Price Prediction System aspires to modernize the real estate sector by offering a data-driven approach to evaluate property values, fostering fairness and efficiency in the housing market. |
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| Cite Article: | "HOUSE PRICE PREDICTION", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c175-c181, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504245.pdf |
| Downloads: | 000388 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504245
Registration ID:200967
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c175-c181 Country: Ghaziabad, Uttar Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504245 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504245 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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