ISL Translation System Development

I am seeking a skilled freelancer to develop an Indian Sign Language (ISL) translation system. The objective of this project is to create a robust machine learning model, preferably a Convolutional Neural Network (CNN), capable of translating ISL gestures and providing real-time inference functionality. Additionally, the project should include a comprehensive report detailing the methodology, model architecture, data processing, and final results.

Project Deliverables:

Python Code: Complete and well-documented Python code for the ISL translation model as well as for its infernce .
Live Inference Capability: A functional setup for real-time inference that demonstrates the model’s capability to translate ISL gestures live.
Comprehensive Report: A detailed report including:
Problem definition and project scope.
Dataset description and preprocessing steps.
Model architecture and training methodology.
Results and evaluation metrics.
Challenges faced and solutions implemented.

Requirements:
Strong experience in machine learning and deep learning, specifically in CNNs.
Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras, OpenCV).
Knowledge of real-time inference techniques.
Experience in working with gesture recognition or sign language projects is a plus.

Additional Information:
The project should be completed with clean and modular code.
Detailed comments and documentation within the code are essential.
The freelancer should be available for discussions and feedback sessions.