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Market Trend Forecaster
PythonStreamlitPower BIData AnalysisGoogle Trends
Predicts future product demand using Google Trends data. Helps businesses identify KPIs and make data-driven decisions via real-time dashboards.
Project Overview
A data analytics tool that leverages Google Trends data to predict future product popularity and identify key market trends. This tool helps businesses make data-driven decisions by forecasting demand.
Key Features
•Real-Time Forecasting: Uses time-series analysis to predict search interest for specific product keywords.
•KPI Identification: Automatically identifies key performance indicators from trend data.
•Interactive Dashboard: Visualizes trends and predictions using Streamlit and Power BI.
Tech Stack Details
•Data Collection: Pytrends API for fetching Google Trends data.
•Analysis: Pandas and NumPy for data manipulation; Scikit-learn for predictive modeling.
•Visualization: Power BI for comprehensive reports and Streamlit for the web interface.