Speech-to-ISL Converter with 3D Avatar

The complete project code (Speech-to-ISL with a 3D avatar)

The step-by-step process to implement it

Since you're integrating a 3D avatar, I’ll outline the approach before coding:

Approach for 3D Avatar-Based Speech-to-ISL Converter
Speech Recognition (English & Hindi)

Use speech_recognition to capture speech.

If Hindi is detected, translate it to English.

3D Avatar Integration (Unity/WebGL/Blender)

Option 1: Unity (Real-time 3D)

Create a 3D human avatar in Unity.

Import sign language animations for different words.

Use Python to send recognized text to Unity for animation playback.

Option 2: Blender/WebGL (Pre-rendered 3D animations)

Pre-render sign language animations.

Play corresponding animations based on recognized text in Python GUI.

GUI (Tkinter/Web-based UI)

Display the detected speech text.

Show both detected language + English translation.

Control 3D avatar animation playback based on recognized words.

Spectrogram & Image-Based Backup (Fallback)

If 3D rendering fails, display static ISL images.

Provide spectrogram visualization of spoken words.