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Automated Research and Trigger Finder NexusAD

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 12 Issue: 04 | Apr 2025

p-ISSN: 2395-0072

www.irjet.net

Automated Research and Trigger Finder NexusAD Dr .Nita Patil , Ganesh Dubey , Aishwarya Mishra , Swaroop Morajkar 1HOD, Dept. of Computer Engineering, K.C. College of Engineering and Management Studies and Research,

Maharashtra, India 2Student, Dept. of Computer Engineering, K.C. College of Engineering and Management Studies and Research,

Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract: NexusAd is an AI-powered marketing intelligence platform designed to simplify and accelerate market research. It aggregates data from various sources and delivers real-time insights through intuitive visualizations. The platform focuses on pre-campaign analysis, enabling smarter and faster marketing decisions. By integrating AIdriven sentiment analysis and competitor benchmarking, NexusAd offers a comprehensive tool for data-driven strategy building. Its user-friendly design ensures accessibility for both professionals and beginners.

competitive landscape, there is a critical need for an intelligent, affordable, and easy-to-use solution that can centralize data, analyze it in real time, and generate actionable insights to guide smarter marketing decisions.

III.

I.INTRODUCTION : In today’s fast-paced digital world, marketing has evolved into a data-driven field. Organizations, especially startups, face challenges in processing vast amounts of information and gaining actionable insights from scattered sources. Traditional tools and research methods are often expensive, time-consuming, and limited in predictive capabilities. This leads to delayed decisions and ineffective strategies. NexusAd aims to bridge this gap by offering an AI-powered platform for marketing intelligence that automates research, trend detection, sentiment analysis, and competitor tracking. By aggregating data from various sources and providing real-time, easy-to-understand visual insights, NexusAd empowers marketers to make faster, smarter, and more strategic decisions—without relying on expensive or complex tools.

II.

Marketers today face numerous challenges in planning and executing effective, data-driven campaigns. One of the primary issues is the fragmentation of data across multiple platforms such as social media, search engines, ecommerce sites, and forums, making it difficult to gather a unified view of market behavior and customer sentiment. This disjointed data environment hinders timely and informed decision-making. Many existing marketing platforms also lack AI-powered capabilities that could automate insights, predict trends, or detect opportunities proactively. As a result, marketers are left to rely on gut feelings or limited data samples, which can lead to ineffective strategies, missed opportunities, increased costs, and reduced return on investment. In today’s

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Impact Factor value: 8.315

Real-Time Insights – Provides up-to-date market trends and customer sentiment to support timely decision-making.

Visual Representation – Easy-to-understand charts and graphs simplify complex data for better analysis.

Brand Comparison – Enables direct comparison of market share across brands like Apple, Samsung, and others.

Consumer Perception – Highlights positive, neutral, and negative sentiments to gauge brand reputation.

Strategic Planning – Assists businesses in refining marketing strategies based on actual market feedback.

IV.

PROBLEM STATEMENT :

© 2025, IRJET

ADVANTAGES:

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LITERATURE SURVEY:

1.

Liu (2012): Discussed the fundamentals of sentiment analysis and opinion mining using NLP techniques. Highlighted the importance of extracting subjective information from textual data.

2.

Medhat et al. (2014): Presented a detailed comparison between machine learning and lexicon-based sentiment analysis methods. Identified performance differences and application use-cases.

3.

Feldman (2013): Focused on real-world applications of sentiment analysis in business and marketing. Emphasized its role in decisionmaking and extracting customer insights.

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