wajeeha-asad/wajeehaasad_Portfolio：计算机科学学生的 AI 工程作品集

Computer Science student building practical AI applications, full-stack products, and thoughtful digital experiences. Currently growing through an AI engineering internship, hackathon builds, and real-client website work.

🌐 Open Live Portfolio · GitHub · LinkedIn

About

This repository contains the source code for my personal portfolio. Its visual direction is cinematic and editorial, with a dark interface, interactive project cards, responsive layouts, and a product-focused presentation of my work.

My current career direction is AI Engineering, with a practical focus on Python, machine learning fundamentals, LLM applications, retrieval-augmented generation (RAG), APIs, and the full-stack engineering needed to turn prototypes into usable products.

Selected work

Project	What it explores	Stack / contribution	Links
NeuraTrack	Full-stack learning and productivity platform	React, FastAPI, PostgreSQL, Supabase	Demo · Repo
Skill Gap Predictor	Career skill-gap exploration and learning recommendations	Python, ML, web app	Demo · Repo
CivicAgent PK	Urdu/English citizen-support prototype using policy retrieval and LLM responses	My contribution: LLM prompts and ChromaDB/RAG workflow	Demo · Repo
BrainX AI	Team hackathon concept for explaining MRI-based predictions and organizing a patient-to-report workflow	My contribution: frontend and UI	Project site · Team repo
Flourish Well	Responsive website MVP for a counseling and professional-development brand	Real-client website, currently in progress	Preview · Repo
Student Performance Prediction	Applied ML experiment with an interactive app	Python, Pandas, scikit-learn, Streamlit	Demo · Repo
Velora	Fashion e-commerce concept with editorial product presentation	React, Vite, JavaScript, CSS	Demo · Repo
Luxe & Latte	Coffee-brand landing experience focused on visual storytelling	HTML, CSS, JavaScript	Demo · Repo

Hackathon and client projects are labeled as collaborative or in-progress work where applicable. BrainX AI is a prototype concept, not a clinically validated diagnostic product.

Current chapter

AI Engineering Intern — Paandaaa: learning through structured training, team collaboration, and assigned engineering tasks.
Client work — Flourish Well: building a responsive website MVP around real requirements.
Hackathons — CivicAgent PK & BrainX AI: experience with a GenAI/RAG workflow and collaborative frontend/UI delivery.
Learning: Python, ML fundamentals, LLM applications, RAG, API development, and software engineering practices.

Technology

Programming: Python, JavaScript, C++, C#
AI / Data: scikit-learn, Pandas, NumPy, LLM APIs, prompt engineering, RAG fundamentals
Backend & databases: FastAPI, REST APIs, PostgreSQL, SQLAlchemy, Supabase
Frontend: React, Vite, HTML, CSS, Tailwind CSS
Tools: Git, GitHub, Streamlit, Vercel, VS Code
Design: Canva, Adobe Illustrator, UI/UX fundamentals

I am actively developing my AI/ML and Python foundations; this list reflects tools I have used or am learning, not expert-level mastery of every technology.

Design and engineering approach

Discover — clarify the problem, user needs, and constraints.
Design — plan the flow, interface, and visual direction.
Build — implement components, APIs, data handling, and interactions.
Refine — test, improve accessibility and responsiveness, document, and ship.

Run locally

Prerequisites: Node.js and npm.

git clone https://github.com/wajeeha-asad/wajeehaasad_Portfolio.git
cd wajeehaasad_Portfolio
npm install
npm run dev

Build and preview a production bundle:

npm run build
npm run preview

Contact form configuration

The contact form uses Formspree. Create a local .env file using .env.example as a guide:

VITE_FORMSPREE_ENDPOINT=https://formspree.io/f/YOUR_FORM_ID

Never commit private keys, credentials, or a real .env file.