I’m building an AI-driven back-office assistant that can learn from my daily routines and gradually take over the busywork. The very first objective is rock-solid money management, so the model you design must focus on expense tracking and bill payments before anything else. Key finance functions it must handle: • Categorizing every expense automatically • Generating clear, periodic reports I can export or share • Tracking all recurring bills with due-date reminders • Initiating on-time payments through my banking gateway • Filing registrations and other compliance-driven payments when they come due Once those pillars are in place, the same system should extend its reach to my calendar and communications—checking my inbox, drafting or sending replies, updating events, and ultimately syncing phone call notes so the whole picture stays consistent. I can supply historical transaction data, email archives, and calendar exports for training. You’ll be expected to: 1. Prepare and clean these datasets. 2. Train and fine-tune the model(s). 3. Build secure integrations with my bank API, email server, and calendar platform. 4. Deliver a runnable solution (Python preferred—TensorFlow, PyTorch, or comparable) plus clear documentation so I can maintain or expand it later. If this end-to-end workflow automation appeals to you, let’s discuss your proposed approach and timeline.