SpatioGPT

SpatioGPT is one of the earliest applications ever built around ChatGPT, created during the early days of OpenAI’s conversational models.
Originally developed in Flutter, it served as a proof of concept for building an interactive AI assistant — before ChatGPT was widely available or had advanced reasoning features.

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Overview

SpatioGPT was designed to explore how conversational AI could extend beyond simple text replies.
It combines natural language understanding, reasoning visualization, and external tool integration into one early agent-style system.

Key innovations include:

• A reasoning and thinking process display that shows how the AI “thinks” before producing a final answer — implemented before OpenAI introduced similar capabilities
• WolframAlpha integration for advanced mathematical reasoning, computations, and factual lookups
• A modular agent design, allowing the system to analyze queries and decide whether to reason, calculate, or respond conversationally

This made SpatioGPT one of the first real attempts at creating an AI reasoning agent, long before tools like function calling or reasoning modes existed.

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Features

• 🤖 ChatGPT Integration – connects to OpenAI’s API for general conversation
• 💭 Visible Thought Process – shows the AI’s reasoning steps before final output
• 🧮 WolframAlpha Integration – solves complex equations and computational problems
• 🧩 Early Agent Behavior – dynamically decides how to handle different query types
• 🎨 Cross-Platform Flutter UI – clean interface running on Android, iOS, web, and desktop
• 💬 Real-Time Conversation – responsive chat and message formatting

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Getting Started

1. Clone the Repository

git clone https://github.com/Lundii1/SpatioGPT.git
cd SpatioGPT/Spatio

2. Install Dependencies

flutter pub get

3. Run the App

flutter run

You can use any connected device or emulator.

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Requirements

• Flutter SDK (latest stable version)
• Dart SDK
• OpenAI API key (for ChatGPT integration)
• WolframAlpha App ID (for advanced computation)

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Purpose

SpatioGPT was created as an early exploration of what conversational AI could become —
not just a chatbot, but a reasoning system capable of explaining its process and using external tools.

It serves as a historical and technical reference point for:

• Early reasoning visualization in AI interfaces (1 year before Deepseek did it)
• Experiments in tool-augmented AI behavior (Interaction between OpenAI and Wolfram)
• Cross-platform chat-based AI apps using Flutter