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.
Automated reels/shorts creating program that generates content about realtime trending topics
SentiArc is a webapp that displays information about companies in a familiar and easy-to-understand form, with a focus on company sentiment.
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).
Scrapes data off Google Trends and makes it more insightful.
An exploratory analysis of the search term 'Deep Learning' using pytrends to fetch our data from Google Trends.
This repository more easily acquires LSI and Long-Tail keywords for SEO.
Collection of notebooks written while learning to work with Google Trends API.
Timeseries Analysis based on Google Trends and Anomaly Detection
This script would pull googletrend data from API with Pytrend library. Main function to pull all data for selected category with defined time range
🔧 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.
This project was implemented as part of my master's thesis in the program "Specialization in Information Systems" at the Hellenic Open University (HOU)/https://www.eap.gr/en/postgraduate-specialization-in-information-systems/.
利用 Google 趨勢的 API 爬取近一個月的資料，並收集搜尋字詞製作字典
This visualization shows the popularity growth of Tesla inc. with respect to the highest searches and sorted by countries. The graph also displays the constant increasing slope of Tesla in the user curiosity from 2016 onwards.
Add a description, image, and links to the pytrends topic page so that developers can more easily learn about it.
To associate your repository with the pytrends topic, visit your repo's landing page and select "manage topics."