imran ghafoor
@Imran Ghafoor
Imran Ghafoor
AI & ML Engineer | Python, Computer Vision & LLM Applications
About
I build AI applications with Python, machine learning, computer vision, and large language models. My projects include plant disease detection, customer churn prediction, and DocuM... Show more
Top Skills
Python
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Artificial Intelligence
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Machine learning
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Computer Vision
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SQL
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Scikit learn
Experience
Machine Learning Intern
Neurofive solutions
Jul 2026 - Aug 2026• Built and deployed Daily Stress Predictor (Streamlit), comparing 3 regression models in one scikit-learn pipeline
Machine Learning Interne
Teyzix Core
Jun 2026 - Jul 2026• Delivered end-to-end ML projects, from data preparation to deployment, including Customer Churn Prediction and Smart Electricity Consumption Prediction (Flask app)
Education
Riphah InternationalUniversity
Bachelor of Science (BS), Artificial Intelligence
2024 - 2028Currently pursuing a Bachelor of Science in Artificial Intelligence at Riphah International University, focusing on Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing.
Gaining practical experience through hands-on AI projects, including predictive modeling, computer vision applications, and LLM-powered systems. Passionate about developing intelligent, scalable solutions to real-world problems.
Projects
Smart Electricity Consumption Prediction
Visit Project open_in_new Jun 2026 - Jul 2026Compared 7 regression models on a self-created 600-record dataset (best: R² 0.964, MAE 1.57 kWh, 5-fold CV) and built a Flask app that returns daily usage, bill estimates and energy-saving tips. Results are based on synthetic data.
PlantScan AI: Plant Disease Detection
Visit Project open_in_new Mar 2026 - Jun 2026Built a web app that diagnoses plant diseases from a leaf photo and recommends treatment. Fine-tuned EfficientNetB0 and MobileNetV2 with two-phase transfer learning on 38 PlantVillage classes (98% and 95% validation accuracy). Added live camera capture with brightness, sharpness and motion checks for auto-capture.
Licenses & Certifications
verified
Introduction to Artificial Intelligence
Simplilearn
Issued Dec 2025Credential ID 9559811
Language & Tools
Python, SQL, HTML, CSS, PyTorch, scikit-learn, OpenCV, Pandas, NumPy, Flask, React, Git, GitHub, Google Colab, Kaggle
Currently Exploring
LLM agents, retrieval-augmented generation (RAG), AI agent security, and real-time object detection. I’m also learning how to evaluate AI systems more rigorously and deploy reliable applications.
Achievements
• Named to the Dean’s Honor List and Vice Chancellor’s Honor List for academic performance, receiving certificates of recognition.
• Built and deployed DocuMind AI, a document assistant combining OCR, RAG, and open-weight language models.
• Developed a plant disease classification project covering 38 classes using transfer learning.
• Completed two internships in AI/ML.
• Built and deployed DocuMind AI, a document assistant combining OCR, RAG, and open-weight language models.
• Developed a plant disease classification project covering 38 classes using transfer learning.
• Completed two internships in AI/ML.
Fun Fact
My laptop has 8 GB of RAM, so my bigger machine learning experiments get a temporary home on Colab or Kaggle.
Random Dev Quote
A model is only as convincing as the data you didn’t train it on.
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