🚀 AI Hub - Spring Boot + React + Groq (gpt-oss-20b)

An AI-powered web application built with Spring Boot (backend) and React (frontend), leveraging Groq’s high-performance inference to run OpenAI GPT-OSS-20B for chat, code generation, and more.

📌 Features

• Chat Interface — Real-time AI conversation using GPT-OSS-20B.
• Code Generator — Generate code snippets in multiple programming languages.
• Two-Tab UI — Switch between Chat and Code modes without losing context.
• Fast Inference — Powered by Groq for ultra-low-latency responses.
• Backend API — Spring Boot REST endpoints for chat and code requests.

🛠 Tech Stack

• React 19 — Component-based UI.
• Spring Boot 3+ — REST API framework.
• Java 22 — Latest Java features for performance & maintainability.
• Spring AI — Integration layer for AI models.
• Groq API — High-speed inference serving OpenAI GPT-OSS-20B.

📂 Project Structure

• Configured application.properties to application.yml for better readability, hierarchical data organization, and easier management of nested AI model configurations (e.g., Groq API key, model name, and server settings)

spring:
  application:
    name: demo
  ai:
    openai:
      api-key: "API_KEY_HERE" 
      base-url: "https://api.groq.com/openai"

Note: SpringBoot applications runs at Port 8080 by default

• Dependency Management in pom.xml file to integrate Spring AI:

<dependencies>
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-web</artifactId>
		</dependency>

		<dependency>
			<groupId>org.springframework.ai</groupId>
			<artifactId>spring-ai-starter-model-openai</artifactId>
		</dependency>

		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-test</artifactId>
			<scope>test</scope>
		</dependency>
	</dependencies>

Why GPT-OSS-20B with Groq?

This project uses Groq's GPT-OSS-20B, a powerful 20-billion parameter open-source language model, to enable advanced AI capabilities such as chat, code generation, and intelligent text processing.

🚀 Why Groq?

• Lightning-Fast Responses – Groq's hardware-accelerated LPU™ (Language Processing Unit) architecture delivers millisecond-level inference, making interactions feel instant compared to traditional GPU-backed APIs.
• Native Support for Open-Source Models – Groq provides seamless hosting for top-tier open models, including LLaMA, Mistral, Gemma, and OSS GPT variants, without the vendor lock-in of closed models.
• Scalability & Reliability – Built for production-grade AI workloads with low-latency APIs and high uptime.

💡 Why GPT-OSS-20B?

• Open-Source Freedom – Fully transparent weights and architecture allow customization and fine-tuning for specific domains.
• Massive Knowledge Capacity – With 20 billion parameters, it rivals proprietary models in reasoning, coding, and creative tasks.
• Cost-Effective – No per-token costs tied to closed ecosystems—Groq’s efficient hosting makes high-performance AI more affordable.

In short, Groq + GPT-OSS-20B means blazing speed, open-source flexibility, and production-ready reliability—perfect for both experimentation and enterprise-grade AI applications.

🟠 Testing Spring Boot Application with Postman

Postman is a powerful tool for sending HTTP requests to test APIs without writing any code.
In this project, Postman is used to verify that the Spring Boot backend endpoints work as expected.

• Download and install Postman.
• Open the application and create a new request.

Sending a GET Request