c
chnaumankamboh

Danish

@chnaumankamboh

Creating Smart AI, Levels and 3D Assets for Your Game

Pakistan
Spanisch, Französisch, Englisch, Urdu
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Hi! I’m Danish, BS Intelligent Systems & Robotics graduate (CGPA 3.45) with hands-on experience building AI-powered desktop and web applications. I have shipped a full-stack POS system currently in active daily use at a restaurant, a real-time face recognition attendance platform deployed for university use, and a RAG-based document chatbot — all independently designed and built. My core strengths are Python, computer vision, LLM integration, and turning AI research into working software.... Mehr lesen

Kompetenzen

c
chnaumankamboh
Danish
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

KI-Websites & -Software
I will build a custom ai chatbot that answers questions from your documents
Ab30 $ / ProjektWeitere Details
KI-Websites & -Software
I will build an ai chatbot for your website or business
Ab25 $ / ProjektWeitere Details

Arbeitserfahrung

Freelancing_Career

Freelancing Career

Freiberufler • 6 yrs 6 mos

Real-Time Face Recognition Attendance System Application for a University

May 2024 - Present • 2 yrs 2 mos

Developed a real-time face recognition desktop app with live camera feed, student enrollment, and automatic clock-in/out. Synced attendance records to Firebase for cloud storage and remote access. Built a multi-screen Tkinter GUI covering login, dashboard, live view, reports, and class management. Packaged the entire application as a standalone Windows executable using PyInstaller.

Moon Pizza House — POS System

May 2024 - Present • 2 yrs 2 mos

Built a full-featured desktop POS application currently in live daily use at a Lahore restaurant. Architected a custom REST API from scratch (no Express) with a lightweight JSON-based data store. Implemented role-based access (Owner / Cashier), daily & monthly sales reports, expense tracking, and Excel export. Network-accessible over WiFi so staff can use it on phones without installing anything.

RAG-Based Document Chatbot

May 2024 - Present • 2 yrs 2 mos

Built a document Q&A system that lets users upload PDFs and query them in natural language. Implemented OCR preprocessing for scanned documents and semantic retrieval using MiniLM embeddings. Served the pipeline through a FastAPI backend with a Streamlit frontend.