A free MCP server to analyze and extract insights from public filings, earnings transcripts, financial metrics, stock market data, private market transactions, and deep web-based research within Claude Desktop and other popular MCP clients.

Flexible framework for identifying third-party data demand in public sector job postings, combining automated data scraping, weakly supervised labeling, structured feature engineering, and NLP, Integrated into a PyPI package (data_demand_mapper) for scoring and lead generation.

We accept donations through KatyaAI and forward a portion of the donations to other open-source projects that made Prophet possible.

An enterprise-grade solution for automated company research and analysis.

🚀 AI-Powered Market Research & Outreach Agent Automatically scrapes Reddit, summarizes pain points, logs to Sheets/CSV, and emails daily insight digests to founders. Built with GPT-4, SerpAPI, gspread, Zoho SMTP, and a self-updating Kanban dashboard.

The TraderPlan Wiki

Kisan DSS is an AI-powered multilingual platform that helps Indian farmers make smarter decisions with real-time market prices, crop and market recommendations, weather-soil insights, voice-enabled chatbot support, and a direct crop selling marketplace.

Practicing basic web scraping with Python (BeautifulSoup and Selenium)

Using correlation methods, t-tests, regression models, and cluster analysis to predict the Ice Cool brand consumer attitudes from a self-made survey. The attempt concludes that the survey data is too small to draw meaningful conclusions.

Sebuah analisis daya saing dengan pendekatan RCA, EPD dan X-Model Produk Ekspor Potensial

Exploratory Data Analysis done for CMHC vs Maine for the state of Maine, USA. This is done on County level and Zip level, to get a sense of network coverage, surgical proximity and network-leakage for CMHC w.r.t its primary competitor in the region - MaineHealth.

Power BI dashboard for crypto market analysis featuring price ticker, interactive filters, currency selector, market overview, coin details, historical trading charts and conversion calculator

Automates Google Ads campaigns based on real-time rainfall data

Advanced data science project analyzing £8.77M in e-commerce revenue across 37 countries to identify customer segments, market trends, and revenue optimization opportunities. Combines traditional RFM analysis with machine learning clustering to deliver actionable business insights.

This repository contains a fully automated data pipeline built with Apache Airflow to extract, clean, analyze, and report real estate listings from Seloger. It pushes data to MongoDB, Elasticsearch, and Google Sheets, with real-time Slack alerts for monitoring.