Hate_Speech_Detector_Project_Presentation (1).pptx using speech to text converter
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Hate Speech Detector Using Speech to Text Converter SUBMITTED BY: - SUBMITTED TO:- NILAY GUPTA Dr . Nishant Jain Ankesh
INTRODUCTION A tool that detects hate speech in audio conversations by converting speech into text and analyzing it. Objective : To identify and flag hate speech in real-time audio streams or pre-recorded audio files.
Key Points Speech-to-Text Conversion Hate Speech Detection Real-Time Analysis Customizable Word Filters User-Friendly Interface
Limitations Speech recognition may not work accurately in noisy environments or with different accents. Focuses on a specific language, with multilingual support as a future enhancement. Requires stable internet connectivity and good processing power for real-time use. Sarcastic or non-hateful uses of flagged words may be misinterpreted.
Plan to Complete the Project Flow of GUI Screens: Sign-in Page Home Page with navigation bar Speech Detection Page ( upload/record) Results Page (flagged content) Settings Page (modify filters, languages)
Part of the Project Planned for Completion This Semester Speech-to-Text Conversion (using Speech Recognition API) Basic Hate Speech Detection Algorithm Basic GUI Development (Sign-in, Home, Speech Detection Pages)