May 2025 monthly delivery highlights for Intelligent-Advisor-Sem-4 across frontend and backend. Frontend delivered the Budget Tracking UI foundation with dashboard, goals, reports, predictions, and AI chat integration, including markdown-rendered responses, establishing the groundwork for budget management and a responsive user experience. Major UI improvements and the UI-only prototype (with a markdown renderer) set the stage for backend integration. Backend established end-to-end readiness with API routing, UID attachment to predictions, budget models, and DB integration, enabling end-to-end budgeting features. Alignment fixes between frontend and backend improved UX consistency. Across both repos, a robust testing regime was added, including unit, component, and integration tests for budgeting, reporting, predictions, and transactions. The Financial Advisory chat endpoint was enhanced to provide advisory context and summaries, with llms/general prompts updates to improve guidance. Maintenance and documentation cleanup reduced unused files and improved test coverage. Business value: faster time-to-value for budgeting workflows, more reliable predictions and insights, and a scalable foundation for production deployment.

April 2025 monthly summary: Delivered LLM-powered Financial Assistant Backend with API endpoints for predictions, budgeting, categorization, and general chat; integrated multiple LLM agents for specialized tasks and added a manual time-series forecasting model. No major bugs reported; focused on reliability and integration. Business impact: automates financial tasks, accelerates insights, and enables scalable workflows. Technologies demonstrated: backend API design, LLM orchestration, multi-agent integration, time-series forecasting, and modular architecture.