• Saamya Gupta
• Rutuparn Kakade
• Sahil Akalwadi
• Soham Pawar
• Anurag Tekam

Gender Based Violence is deep rooted social issue in today’s world. Even in todays advanced world, Gender based violence continues to be major issue which affects survivors as well families leading to social disputes and interrupts social harmony. There are various types of gender based violence. We are addressing physical gender based violence and gender based violence through text. Our proposed system basically prevents hate speech in online social media platform thus moderating social media contents. Second part of our proposed system is based on ML. We have designed gender based violence detection model which is based on pre trained I3D action recognition model, it basically identifies frame by frame gender first and proceeds to process the frame, if violence is detected it interprets it as gender based violence and further sends an alert text message.

Gender based violence, GBV model, hate speech prevention, Machine Learning

"GENDER-BASED VIOLENCE DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.d541-d544, May-2023, Available :http://www.jetir.org/papers/JETIR2305373.pdf

"GENDER-BASED VIOLENCE DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppd541-d544, May-2023, Available at : http://www.jetir.org/papers/JETIR2305373.pdf