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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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nimradev064/README.md

🤖 Nimra Shahzadi — AI Engineer & Python Developer

4+ years building real-world AI systems across medical imaging, real-time video analytics, and agentic AI.

🔭 Currently working on: AI chatbots, agentic AI, healthcare AI & cloud ML pipelines
🌱 Currently learning: Advanced Computer Vision, Deep Learning & AWS SageMaker
👯 Open to collaborate on: Computer Vision · Agentic AI · Real-Time ML Systems
🎯 Dream Project: Emotionally Intelligent Robot — an AI-powered robot that detects human emotions in real time and responds with empathy through voice, movement, and facial expressions. Built with Computer Vision, NLP, and Robotics

🛠️ Tech Stack

Languages: Python · JavaScript · C++

ML/DL: TensorFlow · PyTorch · Keras · Hugging Face · YOLOv8

Computer Vision: OpenCV · Object Detection · Instance Segmentation · Real-Time Video Analytics

Generative AI & LLMs: LangChain · Prompt Engineering · RAG · Stable Diffusion · Transformers

Agentic AI: Voice Agents · Multi-Agent Workflows

Web & API: Django · FastAPI · Flask · Streamlit · Gradio

Databases: PostgreSQL · MongoDB · Pinecone (Vector DB)

Cloud & DevOps: AWS EC2 · AWS SageMaker · GCP · Docker

🚀 Featured Projects

  • 🦷 Dental AI System — Tooth segmentation & age/gender estimation with YOLOv8
  • 🧠 Brain Tumor Detection — CNN-based MRI analysis using TensorFlow
  • 🔥 Fire & Crowd Dashboard — Real-time YOLO detection with Flask
  • 📞 Call Voice Agent — AI voice agent integrated with CRMs & third-party services
  • 🛣️ Road Damage Detection — Deep learning for urban infrastructure (Omdena)

📬 Connect With Me

✍️ Medium: medium.com/@nimrashahzadisa064
📫 LinkedIn: linkedin.com/in/nimradev

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    Automobile Streamlit app predicts car prices using a linear regression model trained on an automobile CSV dataset, deployed on an AWS EC2 instance for accessible web-based usage.

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