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馃幆
Focusing
馃幆
Focusing
  • Brooklyn
  • 08:06 (UTC -04:00)

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DanielLezh13/README.md

Daniel Lezhanskiy

Brooklyn College Computer Science student building educational tools, AI-assisted software, and interactive web projects.

Featured Projects

Project What it does Links
DartBoard A stateful AI workspace for saved memories, reusable context, and long-running conversations. Live 路 GitHub
Habitual A mobile-first habit tracker focused on fast logging, sleep, and long-term patterns. Live 路 GitHub
OneShot-AI A stripped-down AI terminal for fresh, isolated prompts without memory or carryover. Live 路 GitHub
Chess Review A chess game analyzer for reviewing moves, mistakes, and key positions. Live 路 GitHub
Exceler A A self-directed learning workspace built around Brooklyn College's computer science degree path, with structured coursework, required supporting mathematics, mastery-based practice, persistent progress, DegreeWorks mapping, and an AI tutor. Live 路 GitHub

I care about building useful, understandable products that turn complex workflows into focused experiences.

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  1. 0neShot-AI 0neShot-AI Public

    OneShot-AI is a stripped-down AI terminal designed for compressed, to-the-point answers. No memory, no dialog鈥攅very input is treated as a fresh command. React frontend + lightweight Flask backend.

    JavaScript 1

  2. Habitual Habitual Public

    SwiftUI iOS habit tracker with dynamic custom trackers, sleep logging, and Apple Health-style insights charts.

    Swift 1

  3. DartBoard DartBoard Public

    Local-first Next.js workspace with AI assistant, archive search, and memory vault (SQLite + OpenAI)

    TypeScript 1