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NIKITA
DIGITAL SYSTEMS

Projects

Work and demo systems

Demo projects built to test specific product and engineering scenarios — not client work. Each one is honestly labeled as a demo project, with open information about what's ready and what's still in development.

01WebsiteReadyDemo project

LeadFlow

LeadFlow is a demo website with a service cost calculator and a lead form: the estimate and submission are handled server-side, the data is stored, and the person responsible gets an instant Telegram notification.

  • Service cost calculator
  • Lead form with server-side handling and validation
  • Leads stored in Supabase
  • Telegram notifications for new leads
Next.jsTypeScriptSupabaseTelegram APIVercel
LeadFlow homepage hero with the headline and service cards
02Telegram botReadyDemo project

BookingBot

BookingBot is a demo Telegram bot for booking services: the client picks a service and an open time slot right in the chat, and the bot creates the booking and sends reminders.

  • Step-by-step booking flow in Telegram
  • Service and open time-slot selection
  • Booking creation and confirmation
  • Guards against double-booking the same slot
Next.jsTypeScriptTelegram Bot API (grammY)Supabase
BookingBot overview page listing what's working, with a link to the bot
03Internal toolReadyDemo project

ServiceDesk Lite

ServiceDesk Lite is a demo internal system for handling employee tickets: roles, a status workflow, comments, and a full change history for every ticket.

  • Employee and admin roles
  • Ticket status workflow
  • Employee registry
  • Ticket comments
Next.jsTypeScriptPostgreSQLDrizzle ORMTailwind CSS
ServiceDesk Lite admin dashboard with a ticket summary
04AI assistantIn developmentDemo project

DocuMind

DocuMind is a project in development: an AI assistant meant to answer questions about technical documentation, grounded in the actual source text rather than the model's guesses.

  • Document ingestion and processing (in development)
  • Semantic search over document contents (in development)
  • Answers grounded in retrieved sources — RAG (in development)
  • Citations/source links displayed (planned)
Next.jsTypeScriptPostgreSQL (pgvector)
AI assistant04

Project interface will be added once materials are ready.