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Automesh.ai 🚀

AI-Powered MLOps Testing & Deployment Platform

License Tech Stack Status

🌐 Overview

Automesh.ai is an end-to-end cloud-based MLOps testing platform that leverages the power of Large Language Models (LLMs) to automatically generate, test, and validate ML models in isolated sandbox environments. It replaces traditional testers by providing automated unit testing, behavioral testing, integration testing, and feedback loop integration—all in one intelligent dashboard.

This platform is designed to help ML practitioners, students, and enterprises test their models efficiently without writing a single line of test code manually.


🔍 Features

  • Automated Unit Test Case Generation using LLMs (editable by user)
  • 🧠 Behavioral Testing using LLM-based predictions and edge-case generation
  • 🔗 Integration Testing with execution tracking and performance graphs
  • 💬 Feedback Loop support for fine-tuning test cases and models
  • ☁️ Cloud Sandbox environment (2GB free) for model training & testing
  • 📊 Real-time Metrics: Confusion Matrix, Accuracy, Loss graphs, etc.
  • 💰 Storage-Based Tier System with optional payment model
  • 🛡️ AES + PSO-Based Secure Deployment optimization

🏗️ Tech Stack

Layer Technology
Frontend React.js (Tailwind CSS + Charts)
Backend Spring Boot (Java) + Python
AI/LLM Layer Gemini API (LLM)
Storage/Sandbox AWS S3 + EC2 (sandbox environments)
Deployment Logic PSO (Particle Swarm Optimization)
Database MongoDB or PostgreSQL
Security AES-based Encryption
Architecture Microservices + API Gateway

📁 Modules

1️⃣ Unit Testing (Sprint Day 1)

  • User uploads code + dataset
  • LLM generates test code
  • User can edit/approve tests
  • Tests executed in sandbox
  • Results stored in DB

2️⃣ Behavioral Testing (Sprint Day 2)

  • LLM predicts likely edge-cases
  • Behavior simulated with inputs
  • Deviations captured
  • Report generated per model

3️⃣ Integration Testing + Feedback Loop

  • Combined test pipeline for models
  • Confusion Matrix, Loss/Accuracy chart
  • Feedback input from user used to regenerate/improve tests

🔒 Storage & Sandbox Policy

  • ✅ 2GB Free Cloud Sandbox
  • 🪙 Pay-as-you-grow model:
    • +100MB = ₹60
    • +500MB = ₹125
    • +1GB = ₹445
    • +5GB = ₹2,225

🛠️ How to Run

  1. Clone the repo:
    git clone https://github.com/PraneswarGanesan/automesh.ai.git

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