Local AI Task Assistant Setup

I’m ready to bring a personal AI assistant onto my own machine so it can quietly handle the busywork that clogs my mornings. The agent must run locally—no calls to outside clouds—and accept all of its instructions through spoken commands. Once it understands me, it should: • Log into my email account, draft and send polite, context-aware replies, and automatically flag anything that looks urgent or high value. • Check my calendar, find open slots, and book meetings or reminders the moment I ask. • Compile simple daily or weekly reports from data I keep in spreadsheets or a local database, then save or email them back to me. I’m comfortable if you build this in Python with a lightweight local LLM (e.g., [login to view URL], GPT4All) and an offline speech-to-text stack such as Vosk or Whisper-cpp, but I’m open to whatever toolkit you believe is most reliable and 100 % on-device. Security, accuracy, and a clean voice command flow are more important to me than fancy UIs. Deliverables 1. Fully configured agent installed on my computer with reproducible setup script or step-by-step guide. 2. Demonstration commands showing email response, appointment scheduling, and report generation working end-to-end. 3. Brief hand-off document so I can extend or retrain the model later. The job is finished when I can say, “Catch me up on today’s inbox,” and the assistant drafts my replies, flags the critical items, slots tomorrow’s calls, and hands me a neat summary—without ever leaving my machine.

ID do Projeto: 40328049