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Sara12-2/README.md

👩‍💼 About Me

I am COO at Dev Hatch Labs, a Machine Learning and Full Stack developer passionate about building intelligent, real-world applications.

I specialize in combining AI (ML, NLP, Computer Vision) with modern web technologies to create scalable and practical systems.

🎯 Current Focus

🔥 Currently building AI-powered chatbots, LLM applications, RAG systems, and automation tools for real-world business solutions.

🏆 Hackathon & ML Competition Projects

🏆 Generative AI Hackathon 2026 — UoL AI Assistant

🏅 Top 10 out of 23+ Teams!

AI-powered virtual assistant for University of Layyah with bilingual support (English/Urdu) for students, applicants, and visitors.

Tech Stack: Flask Groq AI Llama 3 70B MySQL BeautifulSoup Vercel HTML/CSS/JS

Key Features:

  • 🎓 Role-Based Responses (Students, Applicants, Visitors)
  • 🌐 Bilingual Support (English + Urdu)
  • 🎤 Voice Input (Web Speech API)
  • 🔊 Text-to-Speech
  • 📴 Offline Mode with pre-loaded answers
  • 🔒 Rate Limiting (30 req/min)

🔗 Live Demo | 📁 Repository

🚑 Softtec 2026 ML Competition — High-Cost Patient Prediction

🏅 Healthcare ML Challenge @ FAST NUCES Lahore

Predict whether a healthcare member will incur high medical costs (> $30,000) in the next calendar year using historical administrative data.

Tech Stack: Python LightGBM XGBoost Scikit-learn Pandas NumPy

Key Features:

  • Ensemble: LightGBM + XGBoost (Soft Voting)
  • Recall: 0.825 | F1: 0.616 at threshold 0.35
  • 10+ Engineered Features from multi-table data
  • Handled 11% positive class imbalance

📁 Repository

🚀 Featured Projects

🎓 UoL AI Assistant

Tech Stack: Python LangChain RAG Streamlit ChromaDB

  • AI assistant for University of Layyah using RAG architecture
  • Natural language query processing
  • Integration with university data
  • 📁 GitHub | 🌐 Live Demo

🚑 High-Cost Patient Prediction

Tech Stack: Python XGBoost LightGBM Scikit-learn Pandas

  • Predictive model for healthcare cost optimization
  • Achieved 0.825 recall in identifying high-risk patients
  • Ensemble approach with threshold tuning
  • 📁 GitHub

🛒 Smart Cafeteria

Tech Stack: Flask MySQL Bootstrap jQuery Chart.js

  • Complete food ordering and management system
  • Real-time order tracking and analytics dashboard
  • Role-based access for admins and customers
  • 📁 GitHub

🖐 ASL Sign Language Recognition

Tech Stack: TensorFlow Keras OpenCV Tkinter

  • Real-time American Sign Language recognition
  • Trained on custom dataset with 88% accuracy
  • User-friendly GUI for accessibility
  • 📁 GitHub

🤖 Smart Retail Shelf Monitoring

Tech Stack: Python YOLOv8 OpenCV Tkinter

  • Real-time product detection and inventory tracking
  • Achieved 92% accuracy on custom retail dataset
  • Automated stock monitoring with visual alerts
  • 📁 GitHub

📊 All Projects

🤖 AI / Machine Learning Projects

Project Tech Stack Status
🚑 High-Cost Patient Prediction Python, XGBoost, LightGBM, Scikit-learn ✅ Complete
🖐 ASL Sign Language Recognition TensorFlow, Keras, OpenCV, Tkinter ✅ Complete
🛒 Smart Retail Shelf Monitoring Python, YOLOv8, OpenCV, Tkinter ✅ Complete
💬 Sentiment Analysis (RNN) TensorFlow, Keras, NLP ✅ Complete

🛒 Full Stack Applications

Project Tech Stack Live Demo
☕ Smart Cafeteria Flask, MySQL, Bootstrap, jQuery, Chart.js GitHub
🎤 Digital Debate Judge Flask, SQLite, Bootstrap —
🌐 TechNest React, Vite, JavaScript —

🎨 UI / Frontend Projects

Project Tech Stack Live Demo
🍔 SwiftEats HTML, CSS, JavaScript Demo
🏠 LuxEstate HTML, Tailwind CSS, JavaScript, Chart.js Demo

📊 Dashboards

Project Tech Stack Live Demo
📊 Apex Dashboard HTML, CSS, JS, FullCalendar, Chart.js Demo
💰 AURUM Finance HTML, CSS, JS, Chart.js Demo
🌦 Nimbus Weather HTML, CSS, JS, OpenWeather API —

🛠 Technology Stack

💻 Languages

Python JavaScript HTML5 CSS3

📚 Frameworks & Libraries

React Flask Bootstrap Tailwind CSS

🧠 AI / Machine Learning

TensorFlow Keras OpenCV Scikit-Learn XGBoost Pandas NumPy

🗄️ Databases

MySQL SQLite

🔧 Tools & Platforms

Git GitHub VS Code Kaggle LeetCode

💼 Open To Work

🏆 Achievements

📊 GitHub Statistics

📈 Contribution Graph

📫 Connect With Me

⭐ Building intelligent systems with AI + Full Stack development ⭐

Pinned Loading

  1. Smart_Watch_Landing_Page Smart_Watch_Landing_Page Public

    ARCWATCH — Premium Smartwatch Landing Page A modern, fully responsive e-commerce landing page for smartwatches, built with HTML5, CSS3, and vanilla JavaScript.

    CSS 8

  2. TechNest_Ecommerce_Website TechNest_Ecommerce_Website Public

    Premium React e-commerce with cart, wishlist, dark mode, search filters, and local storage persistence. Glassmorphism UI with stunning animations.

    JavaScript 9

  3. Grocery_Store_Full_Stack_Website Grocery_Store_Full_Stack_Website Public

    Full-stack e-commerce website for fresh and organic grocery products with Flask backend, MySQL database, user authentication, shopping cart, wishlist, admin panel

    JavaScript 12

  4. Smart_Retail_Shelf_Monitoring_with_YOLOv8 Smart_Retail_Shelf_Monitoring_with_YOLOv8 Public

    This project uses YOLOv8 for real-time retail shelf monitoring by detecting and counting products from video feeds. It provides live inventory tracking, low-stock alerts, and a user-friendly Tkinte…

    Python 5

  5. Smart_Cafeteria_Full_Stack_Website Smart_Cafeteria_Full_Stack_Website Public

    Smart Cafeteria System is a full-stack cafeteria management platform built with Flask and MySQL that enables users to browse menus, place orders, manage carts, and track order history.

    HTML 3

  6. UoL-AI-Assistant-Hackathon-2026 UoL-AI-Assistant-Hackathon-2026 Public

    🎓 University of Layyah AI Assistant | South Punjab Hackathon 2026 An intelligent, role-based chatbot (Student | Applicant | Visitor) providing instant answers for admissions, fee structures, facult…

    Python 2