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.
What we did
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.
- Platform/OSWeb
- CategoryMedia & Entertainment
- Case StudyView Now >
Tech Stack
- .Net core
- Azure cloud
- C# Microsoft .Net
- jQuery
- Microsoft Cognitive Services
- Microsoft SQL Server
- Python
Features
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.