A project to build an AI voice assistant using Python . The Voice assistant interacts with the humans to perform basic tasks.

Last update: Oct 30, 2021

Overview

AI_Personal_Voice_Assistant_Using_Python

A project to build an AI voice assistant using Python . The Voice assistant interacts with the humans to perform basic tasks.

Libraries required to be installed using Pip Command:

speech_recognition as sr
pyttsx3
pywhatkit
datetime
wikipedia
pyjokes
os
random
webbrowser

Owner

Chumui Tripura

👋 Hi, I’m @Chumuitripura45.I’m interested in Computer Vision and Deep Learning.Currently learning Java, Mobile app development. I’m looking to collaborate on..

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A project to build an AI voice assistant using Python . The Voice assistant interacts with the humans to perform basic tasks.

Related tags

Overview

AI_Personal_Voice_Assistant_Using_Python

Libraries required to be installed using Pip Command:

Owner

Chumui Tripura

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

Python code to generate art with Generative Adversarial Network

QuadTree Attention for Vision Transformers (ICLR2022)

RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.

Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

Local Multi-Head Channel Self-Attention for FER2013

Moiré Attack (MA): A New Potential Risk of Screen Photos [NeurIPS 2021]

Final project code: Implementing BicycleGAN, for CIS680 FA21 at University of Pennsylvania

Exploring Machine Learning Models for detecting anomalous behavior in credit-card transactions. It's crucial that credit-card companies are able to recognize fraudulent activity so that customers are not charged for items they didn't purchase.

Toolchain to build Yoshi's Island from source code

Deep Inertial Prediction (DIPr)

Open-sourcing the Slates Dataset for recommender systems research

Example for AUAV 2022 with obstacle avoidance.

X-modaler is a versatile and high-performance codebase for cross-modal analytics.

Context-Sensitive Misspelling Correction of Clinical Text via Conditional Independence, CHIL 2022

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

Generate fine-tuning samples & Fine-tuning the model & Generate samples by transferring Note On

[MICCAI'20] AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes

DIRL: Domain-Invariant Representation Learning

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.