PaperPal

Inspiration

PaperPal came from a simple realization: everyone depends on important documents, yet there is no single system that truly works for them. IDs, medical records, warranties, and forms are scattered across portals, inboxes, photos, and folders, making even basic retrieval unnecessarily difficult.

What it does

PaperPal is an AI-powered document system that understands your paperwork. In this MVP, users can upload documents, extract key information using AI, organize them automatically, and interact with their documents through search and conversational queries.

How I built it

I built PaperPal as a solo project using Lovable to rapidly prototype a full-stack web application. The MVP combines a modern frontend, a simple backend with a database, and multimodal AI models for document understanding, extraction, and interaction.

Challenges I ran into

The main challenge was deciding what not to build. With a problem this broad, I had to focus on the core flow — upload, understand, retrieve — while keeping the system realistic, coherent, and usable within the scope of an MVP.

Accomplishments that I'm proud of

I delivered a working end-to-end MVP that demonstrates the full PaperPal experience: document uploads, AI-powered extraction, organization, and conversational access, all within a clean, intuitive interface.

What I learned

I learned that many everyday friction points come from systems that assume users will manually manage complexity. Even a small amount of intelligence in the right place can dramatically reduce that burden.

What's next for PaperPal

Next, I plan to expand PaperPal beyond an MVP by improving extraction accuracy, adding proactive reminders, enabling secure sharing, and strengthening privacy controls to support real-world adoption.

Built With

• css
• framer
• gemini
• lovable
• postgresql
• react
• shadcn/ui
• supabase
• tailwind
• typescript
• vite