Research

What we're exploring

We haven't completed any projects yet. We're still in the learning phase, exploring how AI can solve real human problems.

This page will grow as we make progress. For now, here's what we're studying and thinking about.

Areas of Focus

Healthcare

AI for Healthcare Access

Status: Early Research

How can AI help people in underserved areas access basic medical information? Can we build tools that help with preliminary diagnosis, medication reminders, or connecting people to doctors?

Current Questions:

  • How do we ensure accuracy and safety?
  • How do we make it work offline?
  • How do we respect privacy?
Education

Accessible Education Tools

Status: Exploring

Education shouldn't be limited by geography or income. We're studying how AI can create personalized learning experiences that adapt to each student's pace and style.

Current Questions:

  • How do we keep costs near zero?
  • How do we support all languages?
  • How do we measure real learning?
Climate

Climate & Environment

Status: Initial Study

Can AI help us better understand climate patterns, optimize renewable energy, or predict environmental risks? We're reading, learning, and talking to experts.

Current Questions:

  • Where can AI actually help vs. hype?
  • How do we avoid wasteful computation?
  • Who needs this data most?
Accessibility

Accessibility Tools

Status: Brainstorming

AI can help people with disabilities navigate the world. Better text-to-speech, real-time translation, visual assistance - there's so much potential here.

Current Questions:

  • What do people actually need?
  • How do we make it affordable?
  • How do we build with the community, not for them?

Our Approach

We're taking our time. Rushing would be irresponsible when we're talking about tools that affect people's lives.

Our process:

  1. Listen - Talk to the people who would use these tools. Understand their real needs, not what we assume they need.
  2. Learn - Study existing research, understand what works and what doesn't. Don't reinvent the wheel.
  3. Experiment - Build small prototypes. Test. Fail. Learn. Repeat.
  4. Share - Document what we learn. Make our code open when we can. Help others build on our work.
  5. Deploy Carefully - Only release when we're confident it's safe, helpful, and accessible.

Collaborate With Us

If you're working on similar problems, let's talk. We're not competing with anyone. If we can help each other, that's a win for humanity.

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