- Hi π I'm Mohammed Zaheeruddin, a passionate AI/ML enthusiast currently pursuing BTech at Shetty Institute of Technology, Gulbarga.
- π» Passionate about machine learning, deep learning, natural language processing (NLP), computer vision, and generative AI to build solutions that solve real-world problems.
- π Continuously building my skills in Python, data structures, and algorithms.
- π― Actively working on AI/ML projects to gain hands-on experience and expertise.
- π€ Open to collaborating with like-minded individuals on innovative tech solutions.
- π My Resume: View Resume
- π« Reach out to me at: zaheerxaiml@gmail.com
- π Support my AI/ML journey

- gulbarga
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06:56
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- md_zaheer_jk
- @md_zaheer_jk
- https://mdzaheerjk.github.io/portfolio/
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mdzaheerjk
mdzaheerjk Publicπ» AI/ML Enthusiast | Sharing code & learning in public π Exploring Python, Data Science & Deep Learning π οΈ Building real-world projects with modern AI tools π€ Open to contributions & innovative colβ¦
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ML-project4-Movie-Recommender-System
ML-project4-Movie-Recommender-System Publicπ¬ Movie Recommender System using Collaborative Filtering π Suggests movies based on user ratings and similarity with others π€ Step-by-step ML pipeline: preprocessing β similarity calculation β recoβ¦
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ML-project7-CIFAR-10
ML-project7-CIFAR-10 PublicπΌοΈ CIFAR-10 Image Classification with CNNs π€ Built & trained Convolutional Neural Networks in TensorFlow π Includes preprocessing, model training & result visualization π Achieved high-accuracy preβ¦
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ML-project2-Chicago-Crime-Rate
ML-project2-Chicago-Crime-Rate Publicπ¨ Chicago Crime Rate Analysis & Prediction (2001β2017) π 17 years of crime data analyzed with interactive visualizations π€ Machine learning models predict future crime trends & hotspots π Tools: Paβ¦
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ML-project6-Avocado-Market-prediction
ML-project6-Avocado-Market-prediction Publicπ₯ Avocado Market Price Prediction with Regression π Historical sales data analysis & visualization π€ ML models built using Scikit-learn π End-to-end workflow in Jupyter Notebook
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ML-project1-Traffic-Sign-Classification
ML-project1-Traffic-Sign-Classification Publicπ¦ Traffic Sign Classification using LeNet-5 CNN πΌοΈ 43 classes from GTSRB dataset classified with 99%+ accuracy π§ Built with Keras, TensorFlow, OpenCV, NumPy π Includes data augmentation, performancβ¦
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