Show HN: Parse your chat exports to find restaurants, trips, and activity ideas (github.com)

A new open-source tool called ChatToMap has been released, allowing users to extract and analyze activity suggestions from their chat exports across multiple messaging platforms, including WhatsApp, iMessage, and Telegram. By parsing chat history, ChatToMap identifies restaurants, places to visit, and trip ideas, geocoding these suggestions for easier navigation and mapping. The tool utilizes advanced techniques such as multilingual regex patterns, AI for classifying messages, and URL detection to sift through years of conversation data. This development holds significant potential for the AI/ML community, as it demonstrates practical applications of natural language processing and AI classification in real-world scenarios. The inclusion of features like metadata scraping from social media links, customizable output formats (CSV, PDF, interactive maps), and support for various languages showcases the versatility and nuanced capabilities of the tool. Moreover, its ability to run locally without any data leaving the user's machine emphasizes a strong commitment to user privacy and control, making it a noteworthy resource for anyone looking to derive actionable insights from their chat histories.