VoteBD is a nationwide anonymous election prediction platform designed as a large-scale social experiment in Bangladesh. The platform allows citizens to predict electoral outcomes at the constituency level without revealing personal information, creating a crowdsourced snapshot of public sentiment across 300 constituencies.
Unlike traditional polling, VoteBD uses privacy-preserving technology to ensure genuine anonymity while preventing duplicate voting—solving the fundamental challenge of collecting trustworthy, anonymous data.
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I have been working on MUSE.
It is an AI-powered SaaS platform that helps creators and marketers analyze social media for viral patterns and develop content strategies. It automates data collection, uses AI to analyze patterns, and provides reports and scripts, eliminating the need for manual analysis of viral content. Built on a scalable stack with Next.js, serverless functions, and real-time databases, it ensures reliable, high-volume processing.