AVA – AI Virtual Assistant for Workflows
AVA (AI Virtual Assistant) started from a simple frustration: too much repetitive “click work.”
Updating Excel sheets, copying charts into PowerPoint, exporting dashboards — all tasks that drain time without adding much value.
I wanted something that could understand intent, coordinate tools, and deliver results the way a real assistant would.
Why I Built It
In both academic and professional work, I kept seeing the same bottleneck:
smart people wasting hours manipulating files instead of thinking strategically.
My goal was to design an assistant that users can speak to naturally:
“Update the quarterly sales Excel file and prepare a 4-slide summary.”
AVA interprets the request → calls the right modules → and returns finished output.
Technical Architecture
The system uses a modular skills design:
- Excel Skill: read/write, pivot tables, cleaning
- PowerPoint Skill: generate slides, insert charts, export PDFs
- Data Skill: run SQL queries, filter datasets, export CSV
- Dashboard Skill: trigger refreshes, capture snapshots
A central AI Orchestrator maps user intent to skills:
- Intent parsing
- Task sequencing
- Execution, logging, confirmation
- Human approval when needed
What AVA Can Do Now
- Produce slide decks from spreadsheets
- Refresh data and export summaries
- Clean tables and generate insights
- Automate repetitive reporting sequences
What I Learned
Building AVA taught me that automation isn’t about replacing humans —
it’s about eliminating tedious work so people can focus on thinking.
This project continues to evolve, but it represents my broader interest in
AI systems that create real, measurable productivity.