diff --git a/README.md b/README.md
index b8b4255..5e3f5a8 100644
--- a/README.md
+++ b/README.md
@@ -12,22 +12,20 @@ This template provides a basic structure for building proof tasks that:
 
 ```json
 {
-  "dlp_id": 19, // DLP ID is found in the Root Network contract after the DLP is registered
-  "valid": false, // A single boolean to summarize if the file is considered valid in this DLP
-  "score": 0.7614457831325301, // A score between 0 and 1 for the file, used to determine how valuable the file is. This can be an aggregation of the individual scores below.
-  "authenticity": 1.0, // A score between 0 and 1 to rate if the file has been tampered with
-  "ownership": 1.0, // A score between 0 and 1 to verify the ownership of the file
-  "quality": 0.6024096385542169, // A score between 0 and 1 to show the quality of the file
-  "uniqueness": 0, // A score between 0 and 1 to show unique the file is, compared to others in the DLP
+  "dlp_id": 19,
+  "valid": true,
+  "score": 0.85,
+  "authenticity": 1.0,
+  "ownership": 1.0,
+  "quality": 0.9,
+  "uniqueness": 0.8,
   "attributes": {
-    // Custom attributes that can be added to the proof to provide extra context about the encrypted file
-    "total_score": 0.5,
-    "score_threshold": 0.83,
-    "email_verified": true
+    "email_verified": true,
+    "total_score": 0.75,
+    "score_threshold": 0.83
   }
 }
 ```
-
 The project is designed to work with Intel TDX (Trust Domain Extensions), providing hardware-level isolation and security guarantees for confidential computing workloads.
 
 ## Project Structure
@@ -40,15 +38,24 @@ The project is designed to work with Intel TDX (Trust Domain Extensions), provid
 - `Dockerfile`: Defines the container image for the proof task
 - `requirements.txt`: Python package dependencies
 
-## Getting Started
+##Getting Started
+To begin using this project:
+1. Fork the repository:
+Make a copy of this repository in your GitHub account.
+2. Clone the repository:
 
-To use this template:
+``git clone https://github.com/volaradlp/validator.git
+cd validator``
+3. Build the Docker image:
 
-1. Fork this repository
-2. Modify the `my_proof/proof.py` file to implement your specific proof logic
-3. Update the project dependencies in `requirements.txt` if needed
-4. Commit your changes and push to your repository
+``docker build -t volara-validator .``
+4. Run the proof task:
 
+```docker run --rm \
+  --volume $(pwd)/input:/input \
+  --volume $(pwd)/output:/output \
+  --env USER_EMAIL=user@example.com \
+  volara-validator```
 ## Customizing the Proof Logic
 
 The main proof logic is implemented in `my_proof/proof.py`. To customize it, update the `Proof.generate()` function to change how input files are processed.
@@ -59,33 +66,17 @@ The proof can be configured using environment variables:
 
 If you want to use a language other than Python, you can modify the Dockerfile to install the necessary dependencies and build the proof task in the desired language.
 
-## Local Development
-
-To run the proof locally for testing, you can use Docker:
-
-```bash
-docker build -t my-proof .
-docker run \
-  --rm \
-  --volume $(pwd)/input:/input \
-  --volume $(pwd)/output:/output \
-  --env USER_EMAIL=user123@gmail.com \
-  my-proof
-```
-
 ## Running with Intel TDX
 
 Intel TDX (Trust Domain Extensions) provides hardware-based memory encryption and integrity protection for virtual machines. To run this container in a TDX-enabled environment, follow your infrastructure provider's specific instructions for deploying confidential containers.
 
 Common volume mounts and environment variables:
 
-```bash
-docker run \
-  --rm \
+```docker run --rm \
   --volume /path/to/input:/input \
   --volume /path/to/output:/output \
-  --env USER_EMAIL=user123@gmail.com \
-  my-proof
+  --env USER_EMAIL=user@example.com \
+  volara-validator
 ```
 
 Remember to populate the `/input` directory with the files you want to process.
@@ -98,13 +89,19 @@ This template leverages several security features:
 2. **Input/Output Isolation**: Input and output directories are mounted separately, ensuring clear data flow boundaries
 3. **Minimal Container**: Uses a minimal Python base image to reduce attack surface
 
-## Customization
+## Development and testinng
+Local Testing: Run proof logic locally for development:
 
-Feel free to modify any part of this template to fit your specific needs. The goal is to provide a starting point that can be easily adapted to various proof tasks.
+```python -m unittest discover```
+2. Linting and Code Style: Use tools like flake8 or black to ensure code consistency:
 
+```pip install flake8 black
+black my_proof/```
 ## Contributing
 
 If you have suggestions for improving this template, please open an issue or submit a pull request.
+my suggestion and contribution
+
 
 ## License