StreamIN: A Privacy-Aware Social Platform with Real-Time Multilingual Communication

Abstract

As India becomes increasingly digital, the need for a self-reliant, privacy-preserving social media platform has never been stronger. Existing global platforms often store Indian users’ data outside national boundaries, raising concerns over security, privacy, and data sovereignty. To address these challenges, StreamIN is proposed as a Made-in-India social communication platform, designed under the vision of Atmanirbhar Bharat.StreamIN provides real-time language translation for Indian languages, enabling seamless communication across linguistic boundaries. It supports regional advertisement modules to help small business owners connect with nearby audiences, thus strengthening India’s local economy. Additionally, an integrated and secure digital payment system allows peer-to-peer transactions within chats and posts.This paper presents the motivation, literature background, system design, and methodology for StreamIN. It explains how a federated architecture, combined with privacy-preserving and multilingual AI models, enables data localization, secure communication, and national-scale scalability. The study concludes with future enhancements such as AI-driven moderation, blockchain-based payment verification, and interoperability with global decentralized platforms.