FriendlyFqz

Inspiration: We envision trust-first AI that respects human context, turning raw signals into inclusive insight.

What it does: FriendlyFqz unifies session logs, surveys, and bot interactions to generate bias-aware, explainable recommendations that guide fair decisions.

How we built it: An agentic workflow in Anara/MindStudio couples planner, tools, memory, and reasoning loops for traceable outputs, wrapped in accessible UI/UX patterns.

Challenges: Mitigating data bias, securing consent through privacy-by-design controls, and balancing limited compute.

Accomplishments: Delivered a working prototype with transparent rationale screens and an embedded ethics summary.

What we learned: Building positive-sum systems requires change-management baked into design.

What’s next: Scale to mobility and health-equity scenarios using GeoAI layers and cybersecurity safeguards.

Built With

• anara
• chatgpt
• css3
• figma
• html5
• javascript
• python