Sara Manzoor
@Sara12-2AI/ML Enthusiast | Full Stack Web Developer | Data-Driven Problem Solver | Pandas, Scikit-learn, NumPy, TensorFlow | Deep Learning | NLP | Computer Vision
Language Breakdown
Lines of code distribution across 36 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
37
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
Imran Rafique
@ImranRafique847
Baqir Sultan
@BaqirSultan201
Muhammad Hassan
@mhassan619
Umna Ramzan
@UAE-OS-proj
abdulali11724-lang
@abdulali11724-lang
Top Repositories
LuxEstate — Luxury real estate landing page featuring multi-currency support, mortgage calculator, property wishlist, live filtering, and glassmorphism UI — fully responsive with no frameworks.
Sara Manzoor's GitHub Profile — A modern, animated README showcasing a 4.0 CGPA CS student, Full-Stack Developer (Flask + MySQL), and AI/ML Engineer with 30+ certifications and live GitHub stats.
AURUM — Premium finance dashboard with full CRUD, dark mode, multi-currency, interactive charts, budget tracking, and data export — all in vanilla JS + Chart.js.
Apex — All-in-one appointment dashboard with calendar, client management, analytics, real-time CRUD, and dynamic theming. Zero build steps .
Full-stack e-commerce website for fresh and organic grocery products with Flask backend, MySQL database, user authentication, shopping cart, wishlist, admin panel
Software House Network — Enterprise LAN simulation in Cisco Packet Tracer with 5 VLANs, inter-VLAN routing, and centralized servers — demonstrating Router-on-a-Stick and hierarchical network design.
Premium food delivery landing page with responsive design, live menu filtering, smooth animations, FAQ accordion, and interactive UI built using HTML5, CSS3, and Vanilla JavaScript.
30 Days of JavaScript — My solutions to LeetCode's JS challenge, covering closures, promises, async/await, and functional programming — one day at a time. 🚀
This project predicts high-cost healthcare patients using historical medical claims, utilization, and demographic data for a binary classification task. It uses advanced feature engineering and ensemble models to identify high-risk members with optimized F1-score for competition performance.
This project is a Flask-based digital debate management system that enables participant registration, judge scoring, and real-time leaderboard generation
Open Source Impact
Contributions to external projects
