About Project

The system provides multiple filtering options allowing users to adjust the level of profanity detection. For example, some users may want to detect profanity in texts, while others may want to detect it in audio or video. The system is able to understand the context of a word or phrase to determine whether it is offensive. For example, some words may be acceptable in certain contexts, but not in others. The system provides users with detailed reports of any profanity it detects. This allows users to quickly identify which words need to be removed or modified.
  • Web

    Platform/OS
  • Media & Entertainment

    Category

Brief

The Brainvire team successfully crafted a .Net MVC application, “eUnagi services,” that will manage Advertisements submission to news publishing house’s varied editions. e-Unagi services is a profanity-checking application that scans text for words or phrases that are considered offensive or inappropriate. It is used to filter out offensive language from the content image, audio, and videos. The application detects and flags potentially offensive content before it is published. eUnagi services will perform automated checks on hundreds of submissions. If any profanity is detected in images, then those will be deleted, and on remaining images, services like Face Recognition, Emotion Recognition, Place Recognition, etc. will be implemented.

Highlights

The system provides multiple filtering options, allowing users to adjust the level of profanity detection. For example, some users may want to detect profanity in texts, while others may want to detect it in audio or video. The system can understand the context of a word or phrase to determine whether or not it is offensive. For example, some words may be acceptable in certain contexts but not in others. The system provides users with detailed reports of any profanity it detects. This lets users quickly identify which words need to be removed or modified.
Case Study

Features

Automated Profanity Detection: The application detects profanity in text, audio, and video content. It can detect profanity in multiple languages and flag any content that contains profanity.

Automated Image Recognition: The application uses advanced algorithms to detect and recognize objects, faces, and other image features.

Automate Geolocation Recognition: The application helps identify an image's geographic location. It can recognize landmarks, buildings, and other features in the image.

Facial Expressions Recognition: Detects and recognizes facial expressions in images. It can detect subtle changes in facial expressions and accurately identify the emotion being expressed.

Tech Stack

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    jQuery

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    Microsoft SQL Server

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    Python

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    .Net core

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    Azure cloud

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    Microsoft Cognitive Services

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    C# Microsoft .Net

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