DIY Automated Podcast System for Disaster Information Using Local LLMs

This project highlights the increasing accessibility of AI-driven information delivery, particularly in localized contexts and during emergencies. The use of local LLMs eliminates reliance on external services like OpenAI, addressing concerns about cost and data privacy, while also demonstrating the feasibility of running complex AI tasks on resource-constrained hardware. The project's focus on real-time information and practical deployment makes it impactful.

• •Automated podcast system uses weather and transit data.
• •Employs local LLMs (Ollama) for text summarization.
• •Runs on low-spec hardware like Raspberry Pi.