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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Materials (slides, code, assignments) for the NYU class I teach on NLP and ML Systems (Master of Engineering).

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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

2021搜狐校园文本匹配算法大赛baseline

Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models

Indonesia spellchecker with python

Question answering app is used to answer for a user given question from user given text.

Code for hyperboloid embeddings for knowledge graph entities

Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT)

An open collection of annotated voices in Japanese language

In this project, we compared Spanish BERT and Multilingual BERT in the Sentiment Analysis task.

Top2Vec is an algorithm for topic modeling and semantic search.

This project consists of data analysis and data visualization (done using python)of all IPL seasons from 2008 to 2019 and answering the most asked questions about the IPL.

Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"

A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer

Fine-tune GPT-3 with a Google Chat conversation history

Materials (slides, code, assignments) for the NYU class I teach on NLP and ML Systems (Master of Engineering).

BERN2: an advanced neural biomedical namedentity recognition and normalization tool

The code for the Subformer, from the EMNLP 2021 Findings paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo

iBOT: Image BERT Pre-Training with Online Tokenizer

Simplified diarization pipeline using some pretrained models - audio file to diarized segments in a few lines of code

Tools, wrappers, etc... for data science with a concentration on text processing