satyam9090/Automatic-Indian-Sign-Language-Translator-ISL — reverse-engineered prompt

Reverse engineered prompt

GitHub

Build me a simple Python desktop app that translates spoken English into Indian Sign Language visuals.

The user should be able to open the app, click a record button, speak into the microphone, and see the recognized text plus the matching ISL GIF or image. If the spoken phrase is in a small built in dictionary, show the matching GIF. If it isn’t, spell it out letter by letter using ISL alphabet images with a short delay so it feels readable. The app should keep listening until the user says “goodbye”, then close cleanly.

Use speech recognition with an online option and an offline fallback if possible. Add basic text cleanup like lowercasing before matching. Show a friendly error if no speech is detected or the microphone fails. Keep the interface very simple, suitable for a student project, and include clear instructions for running it locally. Use the existing ISL GIFs and letter images as the visual output.

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