Updated readme

Author: hakim-cherif-mchp

LICENSE

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+#  TensorFlow to MPLAB® Harmony v3 Model Converter
+
+**Welcome to tf2mplabh3!**
+
+This project is proudly developed and maintained by **Microchip Technology Inc.**  
+It enables you to convert TensorFlow models to C code, ready for seamless integration into your MPLAB® Harmony v3 embedded projects.
+
+---
+
+## What is this?
+
+`tf2mplabh3` is a command-line tool that automates the conversion of TensorFlow models to C code, making it easy to deploy machine learning models on embedded systems using MPLAB® Harmony v3.
+
+---
+
+
+## Table of Contents
+
+- [Features](#features)
+- [Installation](#installation)
+- [Quick Start](#quick-start)
+- [Usage](#usage)
+- [Arguments](#arguments)
+- [Examples](#examples)
+- [License](#license)
+- [Acknowledgments](#acknowledgments)
+
+---
+
+## Features
+
+- Convert TensorFlow SavedModel to C code
+- Easy CLI interface
+- Verbosity control for logging
+- Ready for integration with MPLAB Harmony v3
+
+---
+
+## Installation
+Clone the repository and run the installation script:
+```bash
+git clone --recursive https://github.com/yourusername/tf2mplabh3.git
+cd tf2mplabh3
+./install.sh
+```
+### If you already cloned without --recursive, run:
+```bash
+git submodule update --init --recursive
+```
+---
+
+## Quick Start
+Activate the virtual environment and run the script, by passing the TensorFlow model path as shown in the example below:
+```bash
+source .venv/bin/activate
+python3 -m tf2mplabh3 -m examples/mobilenet-v2-tensorflow2-035-128-classification-v2
+```
+---
+
+## Usage
+```bash
+python3 -m tf2mplabh3 [options]
+```
+---
+
+## Arguments
+
+| Argument                    | Description                                 | Default                                                       |
+|-----------------------------|---------------------------------------------|---------------------------------------------------------------|
+| `-m`, `--model`             | Path to TensorFlow SavedModel directory     | `examples/mobilenet-v2-tensorflow2-035-128-classification-v2` |
+| `-onnx`, `--onnx_model`     | Path to output ONNX intermediate model file | `examples/model.onnx`                                         |
+| `-c_file`, `--c_model_file` | Path to output C model file                 | `examples/model.c`                                            |
+| `--tag`                     | SavedModel tag (e.g., `serve`)              | `None`                                                        |
+| `--signature_def`           | Signature def key (e.g., `serving_default`) | `None`                                                        |
+| `--onnx2c`                  | Path to the onnx2c executable               | `c_deps/onnx2c/build/onnx2c`                                  |
+| `-v`, `--verbosity`         | Verbosity level (`0`=quiet, `1`=all logs)   | `0`                                                           |
+
+---
+## Examples
+
+### Convert a model with default settings:
+```bash
+python3 -m tf2mplabh3
+```
+### Convert a specific model and increase verbosity:
+```bash
+python3 -m tf2mplabh3 -m path/to/model -v 1
+```
+## License
+
+[Apache-2.0 License](LICENSE)
+
+## Acknowledgments
+
+- [tf2onnx](https://github.com/onnx/tensorflow-onnx)
+- [onnx2c](https://github.com/kraiskil/onnx2c)
+- [TensorFlow](https://www.tensorflow.org/)