Team LEGOS - LEGO VOICE ASSISTANT

Project Overview

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Problem Statement: CONVERSATIONAL APP INTEGRATION WITH THE CORE PRODUCT USING TECHNOLOGY

Approach:

Our aim was to code a voice assistant that accepts a voice input, and outputs the required result after searching the database.

To facilitate speech recognition and synthesis we used the HTML5 Speech Recognition API.

For our rudimentry model we used a CSV file to store our data and used it as our database.

The required data was extracted from the query by tokenizing it. We used NLP (Natural Language Processing) to match the keywords with the data from the database and displayed it to the user.

Solution Description

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Check out the website.

Architecture Diagram

Technical Description

Technologies Used:

Frontend: HTML, CSS, JavaScript

Backend: Python, Flask

Libraries: Pandas, Spacy, Requests, JQuery, Bootstrap

APIs : HTML5 Speech Recognition API

Setup/Installations:

pip install Flask
pip install spacy
python -m spacy download en_core_web_sm
python -m spacy link en_core_web_sm en
pip install jsonlib
pip install pandas
pip install Flask-Flash

Latest versions of all libraries.

Steps to run the code:

1. Open the command prompt (Terminal or Shell) and navigate to the root directory of project.
2. Execute python app.py to launch the web-app.
3. Go to http://localhost:5000 to view and utilise the web-app.

Team Members

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1. Smriti Suresh - [email protected]

• Extracting required data from the query given by the user by tokenizing.
• Used NLP to match required data from database.

2. Sakshi Reddy Methkupally - [email protected]

• Extracted the query from the audio response.
• Passed data extracted from the database to the front end and displayed it.

3. Vinuthna Ghattamaneni - [email protected]

• Designed Login and Query web pages.
• Implemented the voice input and output in the UI.

4. Bogireddy Neha Reddy - [email protected]

• Validation of login using the database.
• Integration with the query page using flask.
• Logout by redirecting back to the login page.

5. Chada Venkata Sai Poorna Tushara - [email protected]

• Coded Voice Recognition part in python and helped for writing its code in HTML.
• Managed the Database
• Designed Chat display box.