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Developed a weather forecast application that provides users with real-time weather information. The application utilizes weather API to retrieve accurate data and presents it in a user-friendly interface. • Used Openweather API to get the real-time weather data across the globe
Sentiment analysis on Twitter comments using machine learning and NLP. Collects data through Twitter API, processes text with VADER for sentiment classification, trains Logistic Regression model, and saves results to CSV.
It has been designed to check remediation status of vulnerabilities and apply the changes to given Jira tickets which have been created automatically from Rapid7 InsightVM Remediation projects.
A comprehensive (unofficial) API service for planet-ebooks, libgen/gen.lib.rus.ec, and libgen.lc, providing free access to APIs for book download URLs, publication metadata, and many more!
The Seat Count Tracker Telegram Bot is a Python script that leverages the RapidAPI and Telegram API to monitor seat availability on specific train routes. This tool allows users to set a threshold for seat availability, and when the count falls below the specified limit, the bot sends real-time notifications via Telegram
WeatherAPI is a lightning-fast and easy-to-use Weather API built using FastAPI. It provides real-time weather data and forecasts for locations worldwide, making it an essential tool for any application that requires weather information.