We have built a Voice based Personal Assistant for people to access files hands free in their device using natural language processing.

Last update: Nov 13, 2021

Overview

Voice Based Personal Assistant

We have built a Voice based Personal Assistant for people to access files hands free in their device using natural language processing.

The features of the assistant are that it can open folders on the voice commands of the user, open files in that folder and also find words in that file and create new file containing pages that had the word user was looking for in the file.We have made this project on python using NLP and libraries like speech_recognition, os, datetime, ELmo, tensorflow, spacy, PyPDF2, sklearn, pandas, regex, PyQT5.

Owner

Rushabh

GitHub Repository

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We have built a Voice based Personal Assistant for people to access files hands free in their device using natural language processing.

Related tags

Overview

Voice Based Personal Assistant

Owner

Rushabh

An Open-Source Package for Neural Relation Extraction (NRE)

Official code for Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset

NLP command-line assistant powered by OpenAI

A library for finding knowledge neurons in pretrained transformer models.

Contains analysis of trends from Fitbit Dataset (source: Kaggle) to see how the trends can be applied to Bellabeat customers and Bellabeat products

A Semi-Intelligent ChatBot filled with statistical and economical data for the Premier League.

API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend

Multilingual Emotion classification using BERT (fine-tuning). Published at the WASSA workshop (ACL2022).

An open collection of annotated voices in Japanese language

This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers.

GrammarTagger — A Neural Multilingual Grammar Profiler for Language Learning

Natural Language Processing

Translation for Trilium Notes. Trilium Notes 中文版.

Code for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

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