AI-JARVIS is an intelligent voice assistant or personal assistant that can perform tasks or services for an individual based on verbal commands i.e. by interpreting human speech and respond via synthesized voices. Users can ask their assistants’ questions, control home automation devices, and media playback via voice, and manage other basic tasks such as email, to-do lists, open or close any application etc with verbal commands.

• Demo
• Overview
• Motivation
• Installation
• Directory Tree
• Bug / Feature Request
• Future scope of project

Link: https://youtu.be/c5g8Q0sDR0g

AI JARVIS has 19 functionalities :-

1. Predicts the innings Score
2. Predicts the winner of the match

Who doesn't want to have the luxury to own an assistant who always listens for your call, anticipates your every need, and takes action when necessary? That luxury is now available thanks to artificial intelligence-based voice assistants. Finally it is important to work on application (real world application) to actually make a difference.

The Code is written in Python 3.9.2 If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository:

pip install -r requirements.txt

├── static 
    ├── a.png
    ├──csk.png
    ├──dc.png
    ├──rcb.png
    ├──kkr.png
    ├──rr.png
    ├──mi.png
    ├──srh.png
    ├──kxip.png
    ├──background.png
    ├──ipl-favicon.ico
├── template
    ├── index.html
    ├── predict_score.html
    ├── score.html
    ├── predict_winner.html
    ├── winner.html
├── readme_resources
    ├── ipl-first-innings-score-web-app.gif
    ├── application-error-heroku.png
├── README.md
├── app.py
├── score.pkl
├── score.ipynb
├── winner.pkl
├── winner.ipynb
├── requirements.txt
├── Procfile

• If you find a bug, kindly open an issue here by including your search query and the expected result.

• Implement machine learning and deep learning algorithms
• Add multiple features
• Make front-end more attractive
• Can mix augmented reality and gestures