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Welcome to GPTNicheFinder, a powerful niche research tool powered by Google Trends data and OpenAI's GPT model. This application provides a streamlined approach to identify profitable niche markets by leveraging data-driven insights and cutting-edge artificial intelligence.
Cloud Functions I needed to build for my projects: Requesting from an API || Loading generated data and objects (pics) into Cloud Storage || Loading data from BigQuery for its processing.
We geo-spatially correlate Google trend indices of 5 most popular ethnic cuisines to 51 regions in the US from 2004 to 2020 and explore its societal impacts, powered by Python for data scraping and D3.js for data visualization.
🔧 A Python-based script to compare the popularity of multiple keywords using Google Trends data, now with a Flask web interface for easy access and visualization.
We scrape Google trend indices and annual revenues of 3 major camera brands, visualize the data, and use machine learning to predict who will dominate the camera market in the future, powered by Python and JavaScript (D3.js).