Case Study

Gaia

Safety companion for women that chats like a friend, triggers emergency workflows, and maps high-risk London zones from live incident data.

StreamlitStreamlit
PythonPython
OpenAI GPT-4OpenAI GPT-4
TwilioTwilio
NumpyNumpy
PandasPandas
GeoJSON

Overview

Gaia is a web companion we built to give women travelling alone a calm presence, fast help triggers, and situational awareness.

Problem

  • Women travelling alone lack visibility into nearby safety risks.
  • Existing tools feel transactional and offer little emotional support.
  • Emergency escalation paths are often hidden behind multiple steps.

Solution

  • Conversational agent stays present to offer reassurance.
  • One-tap actions trigger contacts or authorities instantly.
  • Live hotspot map visualizes high-risk zones via London data.

Research & Techniques

  • Analyzed emergency call datasets for spatial patterns.
  • Clustered incidents with GeoJSON tooling.
  • Scripted empathetic dialogues with safeguarding guidance.
  • Prototyped Twilio escalation flows for rapid alerts.

Results

  • Hackathon judges praised the blend of empathy and utility.
  • Test users felt more confident navigating highlighted areas.
  • Outlined roadmap for expanding to additional cities.

Key Features

Tap a feature to explore how it supports the experience.

Conversational AI companion that keeps users engaged and calm

Tech Stack

StreamlitPythonOpenAI GPT-4TwilioNumpyPandasGeoJSON