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🚀 NLP & Blockchain-Powered NoSQL Database Management

🔷 Now Integrated with Polygon Testnet & Cardano zkEVM!

We have added Blockchain integration with Polygon Testnet and Cardano zkEVM, ensuring enhanced scalability, security, and decentralized control over database operations.

🔗 Check Transparency of Our Platform

You can verify transactions and transparency using our deployed smart contract on Polygon zkEVM Testnet:
View on Polygonscan

📌 Overview

Managing NoSQL databases like MongoDB can be complex, especially for small businesses and home-based enterprises. Our platform simplifies this by integrating Natural Language Processing (NLP) and Blockchain technology to provide a secure, no-code solution for database operations.

🔥 Key Features

🤖 NLP-Based Database Operations

  • Users can perform Create, Read, Update, and Delete (CRUD) operations simply by typing a request in natural language.
  • Our trained NLP model intelligently identifies the requested operation and executes it automatically, eliminating the need for coding.

🔒 Blockchain-Powered Security

  • Smart Contracts ensure that database connection strings remain confidential.
  • Users can grant or revoke access permissions for specific users securely.
  • This ensures complete control over database access without exposing sensitive credentials.

🔄 Blockchain-Based Revert System

  • Tracks and records database operations in a transparent, immutable ledger.
  • Enables authorized users to roll back unintended changes, ensuring data integrity and security.
  • Provides a verifiable history of database modifications for auditing and trust.

🏆 Benefits

✔ No-Code Solution – Perform database operations effortlessly using natural language.
✔ Secure Access Control – Blockchain smart contracts safeguard sensitive information.
✔ Data Recovery – A transparent, blockchain-backed revert mechanism prevents data loss.
✔ Ideal for Small Businesses – Simplifies database management without requiring technical expertise.

🛠️ How It Works

  1. User Inputs Request – Example: "Retrieve all customer orders from last week."
  2. NLP Model Analyzes the Request – Determines if it’s a Create, Read, Update, or Delete operation.
  3. Database Operation is Executed – The system performs the requested action securely.
  4. Blockchain Ensures Security – Smart contracts manage access, and changes are logged.
  5. Revert System Available – Users can reverse actions transparently when needed.

🛠️ Installation Steps to Set Up DistilBERT Model

Step 1: Create a Conda or Python Environment

We recommend using Conda. Use the following command to create an environment:

conda create -p name_of_environment -y

Then, activate the environment:

conda activate name_of_environment

If that doesn’t work, try:

conda activate path_of_environment

Step 2: Install Required Dependencies

Run the following command to install dependencies from the requirements file:

pip install -r requirements.txt

Step 3: Fine-Tune the Model

Execute the fine-tuning script on a custom dataset (shuffled_db.csv) using:

python fine_tuning.py

Step 4: Deploy the Model on a Flask Server

Once fine-tuning is complete, deploy the model using:

python app.py

Your BERT model is now set up and ready to go!

📢 Get Started

Stay tuned for installation steps and API documentation! 🚀