AI-Foresight: Market Research and Trend Analyzer

Abstract: In the modern digital economy, organizations generate and consume massive volumes of unstructured textual data through online news portals, blogs, forums, and social media platforms. Extracting meaningful insights from such data using traditional market research techniques is time-consuming, expensive, and often inefficient. This paper presents AI-Foresight – Market Research and Trend Analyzer, an AI-driven platform developed to automate market intelligence generation using Natural Language Processing (NLP), Machine Learning (ML), and Generative AI techniques. The proposed system performs automated data collection, text preprocessing, sentiment analysis, topic modelling, trend detection, and AI-based summarization to transform raw textual information into actionable business insights. The platform integrates tools such as BeautifulSoup, NLTK, spaCy, BERTopic, VADER, TextBlob, and GPT-based summarization models, while presenting analytical outputs through an interactive Streamlit dashboard with dynamic visualizations. Experimental evaluation demonstrates that the system efficiently processes large-scale textual datasets, accurately identifies market trends, and significantly reduces manual analytical effort. The proposed solution provides organizations, researchers, and business strategists with a scalable and intelligent framework for real-time market analysis and strategic decision-making.

Keywords: Artificial Intelligence, Market Research, Trend Analysis, Natural Language Processing, Sentiment Analysis, Topic Modelling, Generative AI, Business Intelligence.