ANONIFY - Advancing Anonymous Communication on Social Networks Through AI-Enabled Content Moderation
- Siddhesh Mengade
- Shraddha Patil
- Parth Tate
- Pranjali Chopade
Project Guide: Prof. Snehal Jagtap
Affiliation:
Department of Computer Engineering,
Genba Sopanrao Moze College of Engineering,
Balewadi, Pune 411045
Anonify is an anonymous messaging platform that empowers users to share messages without revealing their identity—while ensuring safety and responsibility through built-in AI-powered content moderation. It addresses growing concerns around misuse of anonymity on digital platforms by detecting and filtering out inappropriate, offensive, or spammy content before it's delivered to recipients.
The platform utilizes a supervised machine learning approach to identify and block harmful content, making anonymous communication more secure, respectful, and meaningful.
- Python for backend content moderation logic
- Machine Learning Model: Logistic Regression
- Text Processing: TF-IDF Vectorizer
- Classification Type: Binary Classification (Safe / Inappropriate)
- Web Stack: HTML, CSS, JavaScript, Next.js and Auth.js
- GitHub for version control & collaboration
- Anonymous messaging system
- AI-powered content moderation
- Real-time message screening
- Secure and privacy-focused design
This project was developed as a part of our final year engineering curriculum under the guidance of Prof. Snehal Jagtap.