# Google Maps API Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/google-maps-api
> Markdown URL: https://aitinkerers.org/technologies/google-maps-api.md
> Technology record last updated: 2026-02-24T13:28:54Z
> Generated: 2026-09-21T12:40:45Z

Integrate Google's global, real-time geospatial data using the Maps, Routes, and Places APIs to power your web and mobile applications.

The Google Maps Platform is your comprehensive suite for building world-class, location-aware experiences. It provides 18+ APIs and SDKs—including the Maps JavaScript API, Places API, and Navigation SDK—for web (React, Flutter) and mobile (Android, iOS) development. Leverage Google's unparalleled data, covering over 200 million places, to implement core features like dynamic maps, turn-by-turn navigation, geocoding, and real-time traffic updates. This platform ensures scalability, reliability, and the familiar user experience trusted by a billion global users.

- Official technology site: https://developers.google.com/maps
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [IncluLearn Global: An AI-Powered School & Health Recommendation Engine with Explainable Suggestions](https://nairobi.aitinkerers.org/talks/rsvp_B-IPKFMSVxo)

I’ll demo how I built IncluLearn, a recommendation system that helps families in Kenya discover schools and health specialists tailored to their needs and location. The demo walks through the backend logic, how user data is stored in Supabase, queried, and matched using AI. I’ll also show how I experimented with vector search and explainable AI prompts to generate human-friendly reasons for recommendations. The goal is to unpack the messy but practical steps of going from a raw idea to a working prototype

- Event context: AI Tinkerers Nairobi – Sep 25, 2025 Meetup — 2025-09-25 — Nairobi
- Public talk page: https://nairobi.aitinkerers.org/talks/rsvp_B-IPKFMSVxo

### [Vibe✓ : Agentic Street-Level Stress Detection with Gemini and Vertex AI](https://nyc.aitinkerers.org/talks/rsvp_jmM5cVIBnT4)

This talk walks through the development of a real-time, cloud-native system for analyzing stress conditions across New York City using live CCTV footage. The system built using Angular and Google Cloud’s AI stack: Vertex AI, Gemini, BigQuery ML, together with Firebase app hosting, captures 940 concurrent camera streams and performs context-aware analysis through a Gemini-powered multimodal agent. Each camera is mapped to dynamically generated borough zones based on Voronoi tessellation, enabling location-specific metrics. The project spans five phases: 1. Multimodal vision analysis using Gemini for stress detection, with adaptive confidence thresholds. 2. A hybrid ML pipeline using Vertex AI and rule-based logic to classify high-risk conditions with 85%+ accuracy. 3. Time-series forecasting with BigQuery ML (ARIMA_PLUS) to detect seasonal patterns and enable pedestrian-aware predictive routing. 4. Event-driven, serverless infrastructure using Firebase Functions to support six-tier adaptive monitoring windows. 5. Live deployment with Firebase Hosting and GitHub Pages to ensure demo reliability and real-time updates. The demo includes a live analytics dashboard showing violation forecasts and real-time confidence scores for each camera zone. Each camera stream is sampled adaptively based on stress levels, and the backend is built for continuous training and edge-case reinforcement.

- Event context: Building AI Agents with Google Cloud AI — 2025-06-25 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_jmM5cVIBnT4

### [Ho Jiak Bo: a food recommender app based on top food blogs](https://singapore.aitinkerers.org/talks/rsvp_agtw4_hzm6k)

Ho Jiak Bo is an end-to-end, AI-powered recommender that ingests and unifies Singapore’s top food-blog reviews into a single, searchable interface. In my talk, I’ll walk through: 1. Data ingestion pipeline – using Python + asyncio and Playwright to crawl and render JavaScript-heavy blogs (Daniel Food Diary, EatBook.sg, Miss Tam Chiak). 2. Content structuring – how we leverage DeepSeek/OpenAI to extract clean JSON records, enrich them with Google Maps metadata, and generate embeddings. 3. Hybrid search engine – combining PostgreSQL full-text search and OpenAI embeddings (text-embedding-3-small) with distance-decay scoring (via PostGIS) to deliver top-5, location-aware hawker stall recommendations.

- Event context: AI Tinkerers Singapore: May Meetup - May 21st, 2025 — 2025-05-21 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_agtw4_hzm6k

## Related Technologies

- [Supabase](https://aitinkerers.org/technologies/supabase) ([Markdown](https://aitinkerers.org/technologies/supabase.md)) — 90 public demos
- [BigQuery ML](https://aitinkerers.org/technologies/bigquery-ml) ([Markdown](https://aitinkerers.org/technologies/bigquery-ml.md)) — 1 public demo
- [Cloud Vision AI](https://aitinkerers.org/technologies/cloud-vision-ai) ([Markdown](https://aitinkerers.org/technologies/cloud-vision-ai.md)) — 1 public demo
- [Firebase Functions](https://aitinkerers.org/technologies/firebase-functions) ([Markdown](https://aitinkerers.org/technologies/firebase-functions.md)) — 2 public demos
- [Netlify](https://aitinkerers.org/technologies/netlify) ([Markdown](https://aitinkerers.org/technologies/netlify.md)) — 4 public demos
- [OpenAI GPT models](https://aitinkerers.org/technologies/openai-gpt-models) ([Markdown](https://aitinkerers.org/technologies/openai-gpt-models.md)) — 2 public demos
- [pgvector](https://aitinkerers.org/technologies/pgvector) ([Markdown](https://aitinkerers.org/technologies/pgvector.md)) — 26 public demos
- [Playwright](https://aitinkerers.org/technologies/playwright) ([Markdown](https://aitinkerers.org/technologies/playwright.md)) — 32 public demos
- [text-embedding-3-small](https://aitinkerers.org/technologies/text-embedding-3-small) ([Markdown](https://aitinkerers.org/technologies/text-embedding-3-small.md)) — 1 public demo
- [Vector databases](https://aitinkerers.org/technologies/vector-databases) ([Markdown](https://aitinkerers.org/technologies/vector-databases.md)) — 9 public demos
- [Vertex AI](https://aitinkerers.org/technologies/vertex-ai) ([Markdown](https://aitinkerers.org/technologies/vertex-ai.md)) — 31 public demos