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 # python-ear
 
-A python implementation of [draft-fv-rats-ear](https://datatracker.ietf.org/doc/draft-fv-rats-ear/).
+A Python library that implements the EAT Attestation Result (EAR) data format, as specified in [draft-ietf-rats-ear](https://datatracker.ietf.org/doc/draft-ietf-rats-ear/).
 
-# Proposal
+This library provides implementations for both CBOR-based and JSON-based serialisations.
 
-Following are the tools that will be used in the development of this library
+---
 
-## CWT and JWT creation
+## Overview
 
-1. [python-cwt](https://python-cwt.readthedocs.io/en/stable/)
-2. [python-jwt](https://pypi.org/project/python-jose/)
+The goal of this project is to standardize attestation results by defining a shared information and data model, enabling seamless integration with other components of the RATS architecture.
 
-## Code formatting and styling
+This focuses specifically on harmonizing attestation results to facilitate interoperability between various verifiers and relying parties.
 
-1. [black](https://pypi.org/project/black/)
-2. [isort](https://pypi.org/project/isort/)
+This implementation was initiated as part of the **Veraison Mentorship** under the Linux Foundation Mentorship Program (**LFX Mentorship**), focusing on the following capabilities:
 
-## Linting and static analysis
+- **Populating EAR Claims-Sets:** Define and populate claims that represent evidence and attestation results.
+- **Signing EAR Claims-Sets:** Support signing using private keys, ensuring data integrity and authenticity.
+- **Encoding and Decoding:**  
+  - Encode signed EAR claims as **CWT** (Concise Binary Object Representation Web Tokens) or **JWT** (JSON Web Tokens).  
+  - Decode signed EARs from CWT or JWT formats, enabling interoperability between different systems.
+- **Signature Verification:** Verify signatures using public keys to ensure the authenticity of claims.
+- **Accessing Claims:** Provide interfaces to access and manage EAR claims efficiently.
 
-1. [flake8](https://pypi.org/project/flake8/)
-2. [mypy](https://pypi.org/project/mypy/)
+This library is developed in Python and makes use of existing packages for CWT and JWT management, static code analysis, and testing.
 
-## Testing
+---
 
-1. [pytest](https://pypi.org/project/pytest/)
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+## Key Features
+
+1. **Standards Compliance:**  
+   Implements draft-ietf-rats-ear as per IETF specifications to ensure compatibility with the RATS architecture.
+
+2. **Token Management:**  
+   - **CWT Support:** Utilizes [python-cwt](https://python-cwt.readthedocs.io/en/stable/) for handling CBOR Web Tokens.  
+   - **JWT Support:** Uses [python-jose](https://pypi.org/project/python-jose/) for JSON Web Tokens management.
+
+3. **Security:**  
+   - Supports signing of EAR claims with private keys and verification with public keys.  
+   - Adopts secure cryptographic practices for token creation and verification.
+
+4. **Static Analysis and Code Quality:**  
+   - Ensures code quality using linters and static analysis tools.  
+   - Maintains type safety and code consistency.
+
+5. **Testing:**  
+   - Comprehensive unit tests using `pytest` to validate all functionalities.
+
+---
+
+## Technical Stack
+
+### Token Creation and Management
+
+- **CWT:** [python-cwt](https://python-cwt.readthedocs.io/en/stable/)  
+- **JWT:** [python-jose](https://pypi.org/project/python-jose/)
+
+### Code Formatting and Styling
+
+- **black:** Ensures consistent code formatting.  
+- **isort:** Manages import statements.  
+
+### Linting and Static Analysis
+
+- **flake8:** For PEP 8 compliance and linting.  
+- **mypy:** Static type checking.  
+- **pyright:** Advanced type checking for Python.  
+- **pylint:** Code analysis for error detection and enforcing coding standards.  
+
+### Testing
+
+- **pytest:** Framework for writing and executing tests.
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