chouhanaryan/vidalytics

An online service for content creators that performs video content analysis for designing effective marketing strategies and business development policies.

Video Analysis for Marketing and Business Development

This is an online service created by team Digital Chaos for content creators that performs video content anaylsis for designing effective marketing and business development policies.

Screenshots

About

• Project Name: Vidalytics
• Short Project Description: Video Analysis for Marketing and Business Development
• Team ID: 24
• Team Name: Digital Chaos
• Team Members:
  • Jay Mehta https://github.com/jaypajji4444/
  • Deep Gandhi https://github.com/deep1401/
  • Jash Mehta https://github.com/jashmehta3300/
  • Aryan Chouhan https://github.com/chouhanaryan/
• Demo Link: https://www.youtube.com/watch?v=Fqq0us2Nn0A&feature=youtu.be
• Labels: Machine Learning, Azure, Praw, Video Analytics, Node.js, Flask

Installation

git clone https://github.com/jaypajji4444/24-Digital_Chaos-VIDALYTICS.git
cd codebreak
pip install -r requirements.txt
flask run
cd ..
cd reddit
pip install -r requirements.txt
flask run --port 5050
cd ..

## Starting app
node server.js
open: localhost:8000

Description

Content creators over the country suffer from a common problem that cannot be solved by being creative. In today's cut-throat marketing world, it is absolutely necessary to ensure that your product is marketed to the right audience in the exactly right way. Video Indexer consolidates various audio and video artificial intelligence (AI) technologies offered into one integrated service, making development simpler. By abstracting away all of the dirty API calls and loading screens, we aim to create a clean, one-stop service that would be of immediate help to anybody looking to market their product. To achieve this, we provide three main services - Label Identification (Video analysis), Keyword Identification (Audio analysis) and Sentiment Analysis. By combining insights from these channels, we provide a list of Reddit communities that the user can then target to market their content effectively. Also, by identifying the sentiments within the video, the user now gains an upper hand by getting exact target markets on where to spread their content. Also, the smart sentiment filtering helps users control the tone of the message being sent across. This is not only limited to the YouTube content creators but has widespread applications for various other entities such as companies looking forward to launch their products, people trying to convey a message be it in an interview or social. We look forward to integrate Facebook Graph in the app by finding a workaround to the privacy policies. Thus, we have created a one stop shop for video analytics.

Technology Stack Used

• Node.js
• MongoDB
• Flask
• Azure
• Bootstrap

Note

We used the Reddit Praw data mining tool for dynamic mining of data every time a keyword is generated. This helps keep up with the current sentiment of the society.