behavior-tracking

Life Logger is a private-first personal data operating system that captures daily events, achievements, and failures via Telegram, structures them automatically, and securely stores them on GitHub. Built as a digital second brain for search, insights, and lifelong self-tracking — engineered by Naboraj Sarkar 🧠⚡

AI-powered behavioral productivity analytics platform for tracking browser activity, desktop applications, focus patterns, deep work sessions, and productivity insights in real time.

A production-ready React library to detect suspicious behavioral patterns in online exams and generate real-time risk scores.

Family-scale reward and behavior tracking app. Dual-track points (weekly screen time + cumulative Christmas fund), multi-child, RLS-isolated. Next.js 16 App Router + Supabase (Postgres + Auth) + shadcn/ui.

A minimal behavioral observation interface that records intentional actions as binary signals over time.

A behavioral enforcement operating system built around quantified identity and operational evidence instead of self-report. TypeScript monorepo with a Next.js 15 and React 19 front end, a Fastify, Prisma, and Postgres API, Redis and BullMQ background jobs, Socket.IO realtime, and Turborepo tying it together.

A Google Apps Script that automates weekly behavior data collection sheets in Google Sheets, links them to a summary view, and emails daily behavior reports. Originally built for a school district, generalized for public use.