AI and chatbots
Chatbots and search built on your product catalogue, price list or document archive. Answers are grounded in your data rather than invented by the model.
🟢 A C#/.NET system I built in the defense domain, actively used in the field. Built on camera and device SDK integrations with a multi-module architecture. (Operational details are confidential.)
Real-time safety/compliance monitoring from cameras: detects rule violations with YOLO, logs them and raises alerts. Multi-service: API + processing worker + Next.js panel.
A tool-using AI agent that talks to customers on WhatsApp and Instagram while creating real orders and appointments, and hands off to a human when needed. LangGraph + FastAPI with a live CRM panel.
A “living” AI chat core with personality, persistent memory, a daily routine and shifting moods. Human-like messaging: typing delays, moods, intentional typos.
An AI dream-interpretation mobile app (iOS + Android). Flutter frontend + FastAPI backend; token-based usage with rewarded ads to earn tokens. By YeloraStudio.
A full-stack system where multiple AI agents collaborate to solve a task. State-aware agent flows orchestrated with LangGraph; Python (FastAPI) backend + React frontend.
Vehicle detection and plate reading from a camera: finds objects with YOLO and reads the plate text with EasyOCR.
A Windows desktop multi-camera object-detection app: image processing with Emgu.CV (OpenCV), configurable detection settings and serial-port hardware integration.
A bot that runs SQL against your own database and answers stock, order and account questions.
A chat widget fed by your own documents, answering customer questions around the clock.
Describe what you want in a few sentences. I will tell you whether it is feasible, how long it takes and what it costs, with a concrete scope.