Paper Title

LapSense: Leveraging Data Science Forecasts to Strengthen Laptop Shopping

Article Identifiers

Registration ID: IJNRD_215003

Published ID: IJNRD2403104

DOI: http://doi.one/10.1729/Journal.38216

Authors

M Abhiram Sharma , T Venkata Sai Sathvik , Ankush Kumar , Vachhani Shivani , Shaik Abdul Shaan, Arpita Gupta

Keywords

Laptop, RAM, CPU, GPU, Specifications, Machine Learning, Data Science, Flask, JavaScript.

Abstract

In a moment when computers are a necessary part of our lives, their costs can differ greatly depending on a broad range of variables. We have created cutting-edge technology for laptop price prediction to aid customers in making wise judgements. To deliver precise and timely pricing estimates for laptops and enable customers to determine the best prices, our project leverages the capability of machine learning and data science. We developed a prognostic model that can analyze this data and provide accurate price forecasts by utilizing cutting-edge machine learning methods. We used Flask, for creating client interfaces, to fabricate a dynamic and user-friendly website that makes this tool available to users.

How To Cite (APA)

M Abhiram Sharma, T Venkata Sai Sathvik, Ankush Kumar, Vachhani Shivani , & Shaik Abdul Shaan, Arpita Gupta (March-2024). LapSense: Leveraging Data Science Forecasts to Strengthen Laptop Shopping. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), b28-b33. http://doi.one/10.1729/Journal.38216

Citation

Issue

Volume 9 Issue 3, March-2024

Pages : b28-b33

Other Publication Details

Paper Reg. ID: IJNRD_215003

Published Paper Id: IJNRD2403104

Downloads: 000121986

Research Area: Computer Science & Technology 

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403104.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403104

Crossref DOI: http://doi.one/10.1729/Journal.38216

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

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Subject Category: Research Area

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