Model of an AI powered sign language interpreter.

Overview

TEXT AND SPEECH TO SIGN LANGUAGE.

A web application which takes in text or live audio speech recording as input, converts and displays the relevant Sign Language.

  • Front-end using HTML,CSS,JavaScript.
  • Speech recognition using JavaScript Web speech API.
  • Text Preprocessing using Natural Language Toolkit(NLTK).
  • A 3D animation of a character created using Blender 3D tool.

Team:

>- Mark Gatere
>- Ephantus Ng'ang'a
>- Michael Muia
>- Denis Muriuki

Prerequisites

  • Python >= 3.7
  • Browser supports Web Speech API
  • Download all required packages for python script A2SL/views.py

Installation Guide:

These instructions will get you download the project and running on your local machine for development and testing purposes.

Instructions

  1. Open the Downloads folder and then open the terminal.
  2. From the terminal, run the python file using the command "python manage.py runserver ####" (#### optional port number eg 9000).
  3. From the terminal, it shows localhost address (looks like this "server at http://127.0.0.1:9000/") run on browser.
  4. Sign up in the web application and start exploring.
  5. Click on mic button to record speech.
  6. Speech is going to processed and respective animated outputs are shown accordingly and it also support entered text manually.

~Regards Team Lead; Mark

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Comments
  • build(deps): bump joblib from 1.1.0 to 1.2.0

    build(deps): bump joblib from 1.1.0 to 1.2.0

    Bumps joblib from 1.1.0 to 1.2.0.

    Changelog

    Sourced from joblib's changelog.

    Release 1.2.0

    • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

    • Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

    • Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

    • Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

    • Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

    • Vendor loky 3.3.0 which fixes several bugs including:

      • robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

      • avoiding leaking worker processes in case of nested loky parallel calls;

      • reliability spawn the correct number of reusable workers.

    Commits
    • 5991350 Release 1.2.0
    • 3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)
    • cea26ff CI test the future loky-3.3.0 branch (#1338)
    • 8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)
    • 067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)
    • ac4ebd5 MAINT add back pytest warnings plugin (#1337)
    • a23427d Test child raises parent exits cleanly more reliable on macos (#1335)
    • ac09691 [MAINT] various test updates (#1334)
    • 4a314b1 Vendor loky 3.2.0 (#1333)
    • bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...
    • Additional commits viewable in compare view

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