International Journal of Scientific Research and Engineering Development

Modern professionals increasingly struggle with tool fragmentation, spending significant time switching between disconnected applications for task management, scheduling, communication, document handling, and financial tracking. This paper presents LifeSync, a full-stack AI-powered personal assistant and productivity platform built using Next.js, React, TypeScript, Node.js, Python, and MongoDB. The system integrates six core AI-driven modules into a unified web application: a Smart Calendar with reinforcementlearning-based adaptive scheduling; a Kanban Task Board with supervised ML priority prediction; a SmartMail AI Responder leveraging sentiment analysis and the Gmail API; an Intelligent Document Handler using Tesseract OCR with transformer-based post-processing; an AI-Powered Expense Tracker with automated categorization; and a transformer-based Voice-Activated Chatbot. The platform is deployed on Vercel with MongoDB Atlas as the primary data store, managed via Prisma ORM, and uses Google AI (Gemini) for generative capabilities, Cloudinary for media storage, and NextAuth.js for authentication. Performance evaluation using Vercel Analytics and MongoDB Atlas metrics demonstrates stable deployment under real-world load. A comparative analysis against existing productivity platforms confirms that LifeSync is the only evaluated system to unify all six capability dimensions within a single, cohesive interface, reducing administrative overhead and context-switching friction for remote professionals anddistributed teams.

Adiba Shaikh, Deep Bansode, Indraneel Patil, Sharif Hamdulay, Christopher Uzhuthuval,"LifeSync: AI-Powered Integrated Personal Assistant and Task Management Platform" International Journal of Scientific Research and Engineering Development, V9(1): Page(2106-2120) Jan-Feb 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.