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SaadInnovates/README.md

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Muhammad Saad Zubair

I build end-to-end intelligent systems — not just models. From agentic AI pipelines and computer vision platforms to workflow automation and full-stack apps that ship to real users. Currently an AI/ML Intern @ Systems Limited and a 7th-semester IT student at PUCIT with a 3.86 GPA and a habit of over-engineering side projects into production-grade systems.


What I work with

Python PyTorch TensorFlow OpenCV YOLOv8 LangChain n8n FastAPI Flutter React Docker PostgreSQL SQLite Node.js Express.js Next.js NumPy Pandas Matplotlib SciPy Seaborn Kotlin Transformers Roboflow


GitHub stats



Selected Projects

NutriFlow.ai — Agentic AI
End-to-end AI nutrition assistant with agentic plan generation, diet debug workflows, recipe generation, JWT auth, session history, and PDF export. Full-stack with animated frontend.

Inspectra.ai — Computer Vision
Production-grade vehicle damage detection using YOLOv8. Full pipeline: image upload → inference → bounding box visualization → automated damage reports. WebSocket real-time updates, role-based auth, analytics dashboard.

CortexBI — Agentic AI · Business Intelligence
Autonomous BI platform powered by LangGraph. Ingests CSV, MongoDB, and REST APIs → anomaly detection (Isolation Forest) → RFM segmentation → executive summaries. BI beyond static dashboards.

Morse Gesture Translator — Computer Vision · Real-time
Real-time hand gesture → Morse code → text translation. Custom dataset built with OpenCV, model trained with TensorFlow/Keras. Five gestures covering dot, dash, space, and undo.

Number Plate Detector (Reka Studios) — Computer Vision · Deployed
Fine-tuned YOLOv10 on license plates + PaddleOCR + SQLite pipeline. Currently running
at a live parking lot — not a demo, actual production use.
YOLOv10 PaddleOCR SQLite

Quranic Audio Recognition (Reka Studios) — Audio ML
Custom Wave2Vec model trained on Quranic audio extracted from YouTube. Tested across
different voices and age groups. Outperformed Whisper fine-tune on inference speed.
Wave2Vec PyTorch Audio Processing

Car Price Predictor — Machine Learning · Deployed
Random Forest model trained on OLX Pakistan data, integrated into a live web interface R² — 0.92 Cross Valid Score 0.90 scikit-learn Streamlit Pandas

House Price Prediction Pakistan — Machine Learning
CatBoost outperformed all other algorithms on Zameen.com data — R² 0.89,
cross-validation score 0.84+.
CatBoost scikit-learn Pandas


Currently working on

CarCopilot — An AI-powered OBD-II vehicle intelligence platform for Android/iOS.
Plug a $20 Bluetooth adapter into any car's diagnostic port and get a full AI copilot:
real-time engine telemetry, fault code analysis with RAG-powered explanations, predictive
maintenance forecasts, driving behavior coaching, and a voice assistant that answers
"why is my check engine light on?" — all running locally, no cloud required.
Stack: Flutter · FastAPI · LangGraph (8 agents) · ChromaDB RAG · ONNX edge ML · Whisper STT

Workflow Automation (n8n) — Designing and shipping production automation pipelines:
RAG chatbots over vector stores, lead-scraping → CRM pipelines, AI-generated reporting
systems, and multi-tool personal assistant agents wired into Google Workspace.
n8n Groq Vector Stores Google Workspace APIs


A few more things

  • AI/ML Intern @ Systems Limited
  • 3.86 GPA at PUCIT · PEF Scholar
  • DataCamp
  • Open to full-time AI/ML roles — ideally where I get to build things that actually ship

Get in touch

Email · LinkedIn

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