🦥 SlothChat: An Offline, Open-Weight AI for Your Group Chat Overload.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady . What I Built SlothChat is a local-first, privacy-focused AI tool that reads your chaotic group chats overnight and hands you a clean, 3-bullet summary with action items in the morning. We all have that one group chat—the one with 150 unread messages about inside jokes, server crashes, and "who's bringing…
SlothChat is an AI tool designed to combat the overwhelming nature of group chats, which can contain hundreds of unread messages. Created as part of the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady, it offers a privacy-focused solution that runs locally on a user's machine or a free Colab instance. This means the user's private group chat history never leaves their device, ensuring their data remains secure and is not used for training purposes of any closed, rented models.
The tool takes the chaotic chat log, processes it overnight, and the following morning provides the user with a concise, 3-bullet summary complete with action items. This process saves users from the mental strain of trying to catch up with hundreds of messages in a short period. The underlying model, Qwen 2.5 1.5B, is run through HuggingFace transformers, and the entire system is wrapped in a Python script using PyTorch.
By running on the user's local device, SlothChat eliminates the need for cloud resources and the associated costs. It also ensures that the user's data remains private, as no information is sent to external servers. The model operates in an offline capacity, meaning it functions even in areas with poor or no internet connection, such as during a plane ride or cabin trip. This capability makes SlothChat an ideal tool for those who value productivity and privacy in their digital interactions.
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