Fire Detection
A computer vision model that spots fire in images and video using YOLO, built to flag danger early from a camera feed.
Designing intelligent systems that see, reason, and automate — paired with quiet, modern interfaces.
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It started with a simple idea.
Technology matters most when it solves a real problem.

So I taught machines to see.
YOLO models that spot fire and objects in images and video.

Then I taught them to understand.
A heart disease predictor, a resume analyzer, and now RAG, AI agents and n8n automation.


I am a Computer Science student focused on AI, machine learning and intelligent automation. I believe technology matters most when it solves a real problem.
I have built YOLO-based computer vision systems for fire and object detection, a heart disease prediction model and an AI resume analyzer. Now I am going deeper into RAG, LLM applications, AI agents and automation workflows.


Built around your problem, not a generic template.
Assistants that answer from your own documents and data.
n8n workflows that take repetitive work off your plate.
YOLO detection systems and predictive models, already built.
Clean, responsive websites that present your work or business clearly.
Four built, one in progress, and four that put my certificates to work. Scroll sideways.

A computer vision model that spots fire in images and video using YOLO, built to flag danger early from a camera feed.
A YOLO-based detector that finds and labels objects in images and video frames, trained and tested on annotated data.
A machine learning model that predicts the likelihood of heart disease from health data such as age, blood pressure and cholesterol.
Reads a resume, pulls out skills and experience, and checks how well they match a job, with suggestions to improve it.
Answers questions from a set of documents by retrieving the relevant passages first, then letting an LLM respond with that context.
An n8n workflow that reads incoming messages, asks an LLM to classify and summarize them, then routes each to a sheet, a reply draft or an alert.
Exploratory analysis of a public dataset with clean Matplotlib charts: trends, distributions and comparisons, each with a one-line takeaway.
Answers common questions for a small business from its own FAQ content, with a fallback when it does not know the answer.
Python scripts that clean files, merge spreadsheets and generate reports, so routine data chores run with one command.
The toolkit behind the work.

Licenses and certifications, newest first.
LearnKartS · Oct 2026 · Project: Lead and Email Triage
Google · Sep 2026 · ID KAZ12HA5EOEK
Google · Sep 2026 · ID W57U5TBHJ8LN
Stanford Online · Project: Heart Disease Prediction
Coursera · Project: Data Insights Dashboard
Website development
Certiport · Project: Python Automation Toolkit

Expected graduation in 2027. Coursework plus self-driven building focused on AI, machine learning and automation.
Open for internships, freelance & collaborations
Whether you need an AI agent, a RAG knowledge assistant, computer vision detection, n8n workflow automation, or a clean modern website — I’d love to hear what you’re building.
Links coming soon — add them in the LINKS config near the end of this file.
Your AI Portfolio Companion · Online
Hello! Welcome to Taiba Jamil’s digital space.
I’m T-JAY, her AI-powered portfolio assistant.
Curious about AI automation, intelligent systems, LLMs, RAG, or web development? You’re in the right place.
Let’s explore ideas, technology, and possibilities. What would you like to know?