Control Points Finder – Real-Time Geospatial Intelligence for Field Engineers Powered by Redis Cloud

Isaac Tetteh-Apotey — Sun, 10 Aug 2025 17:46:20 +0000

This is a submission for the Redis AI Challenge: Beyond the Cache.

What I Built

Control Points Finder – Real-Time Geospatial Intelligence for Field Engineers Powered by Redis Cloud

Control Points Finder is a mobile-first geospatial search and navigation tool designed for surveyors, GIS specialists, and field engineers in Ghana. It solves a critical problem: locating verified control points quickly and accurately in the field.

Built with Flutter and powered by Redis Cloud, the app uses Redis not just as a cache—but as a primary database, full-text search engine, and real-time geospatial query layer.

🚀 Redis Capabilities

Redis powers the Control Points Finder with multi-model intelligence far beyond caching:

🔧 Capability	💡 Description
🔍 Fuzzy Full-Text Search	Search control point IDs and town names with flexible matching
🌍 Geospatial Radius Filtering	Instantly find nearby control points using location-based queries
✨ Autocomplete Suggestions	Live input matching with prefix and wildcard logic
📇 Dynamic Metadata Display	Coordinate conversions and rich data cards for each control point
🧵 Real-Time CLI Access	Direct querying and validation using Redis CLI

🔧 Key Features & CLI Examples

1️⃣ Full-Text Search by Town Name

FT.SEARCH control_points_idx "@town:(Tema)" RETURN 3 id town location

2️⃣ Geospatial Radius Search

FT.SEARCH control_points_idx "@location:[5.5882 -0.1751 10 km]" RETURN 3 id town location

Result: Returns control points like:

SGGA C2600 17 4
SGGA 935/01/1 (ADGIRIGANO)
SGGA 7/89/106 (SPINTEX RD)

3️⃣ Autocomplete with Live Suggestions

Typing "SG" returns:

SGGA C2600 17 4
SGGA 935/01/1 (ADGIRIGANO)
SGGA 7/91/640 (TEMA)

4️⃣ Dynamic Card Display

Each control point card includes:

🆔 ID, 🏙️ Town, 📍 Coordinates

📐 Original Easting/Northing

🏷️ Label and Redis Cloud source

🧭 Navigate button to Google Maps

🧰 Tech Stack

🐍 Python – GeoJSON to Redis Cloud loader for control point ingestion

🧱 Layer	⚙️ Tool
🗄️ Data Store	☁️ Redis Cloud
🔍 Search Engine	🧠 RediSearch
🗺️ Geospatial	📍 Redis GEO
🎨 Frontend	📱 Flutter
🛠️ Backend	💻 Redis CLI + API
🚀 Hosting	☁️ Redis Cloud

🎯 Impact

⏱️ Saves time for surveyors and engineers
📐 Improves planning and field accuracy
💰 Reduces costs by minimizing location errors
🧭 Enables real-time decision-making in the field
🧮 Preserves legacy coordinate systems for compatibility

🏁 Final Thoughts
Redis didn’t just support this project—it enabled it. From full-text search to geospatial intelligence, Redis proved it’s more than a cache. It’s a real-time, multi-model powerhouse that’s ready for the field.

Control Points Finder is a testament to Redis’s versatility, speed, and reliability. And it’s already making a difference in how engineers work.

🎥 Demo

Architecture Diagram

🔧 Redis CLI Demo Watch on YouTube

🔧 Redis CLI Demo

📱 Mobile App Demo

📱 Mobile App Demo Images

How I Used Redis 8

Redis was the backbone of this project — not just for caching, but for powering intelligent, real-time geospatial workflows.

🔧 Redis Capabilities Used

Primary Database: All control point data stored as Redis JSON objects
RediSearch: Full-text search on town names and control point IDs
GEO Indexing: Radius-based location filtering for field proximity queries
Autocomplete: Live suggestions based on partial input using prefix and wildcard matching
Redis CLI: Used for direct querying, debugging, and validating search logic

🧪 Redis CLI Examples**

KEYS cp:*

Returns all control points in the Redis database

FT.SEARCH control_points_idx "@location:[5.5882 -0.1751 10 km]" RETURN 3 id town location

Returns all control points within 10 km of a given location

FT.SEARCH control_points_idx "@town_tag:{TEMA}" RETURN 3 id town_text location

Returns all control points located in Tema

🙌 Special Thanks

Special thanks to my AI collaborators: ChatGPT (OpenAI), DeepSeek, and Microsoft Copilot for brainstorming, code review, and moral support.

These AI companions weren’t just tools—they were sounding boards, co-designers, and late-night motivators.

DEV Community: Isaac Tetteh-Apotey

Control Points Finder – Real-Time Geospatial Intelligence for Field Engineers Powered by Redis Cloud

What I Built

Control Points Finder – Real-Time Geospatial Intelligence for Field Engineers Powered by Redis Cloud

🚀 Redis Capabilities

🔧 Key Features & CLI Examples

1️⃣ Full-Text Search by Town Name

2️⃣ Geospatial Radius Search

3️⃣ Autocomplete with Live Suggestions

4️⃣ Dynamic Card Display

🧰 Tech Stack

🎯 Impact

🎥 Demo

Architecture Diagram

🔧 Redis CLI Demo Watch on YouTube

🔧 Redis CLI Demo

📱 Mobile App Demo

📱 Mobile App Demo Images

How I Used Redis 8

🧪 Redis CLI Examples**

KEYS cp:*

FT.SEARCH control_points_idx "@location:[5.5882 -0.1751 10 km]" RETURN 3 id town location

FT.SEARCH control_points_idx "@town_tag:{TEMA}" RETURN 3 id town_text location

🙌 Special Thanks