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English
$
USD
I will build deep learning and computer vision models for image data
AI Engineer, Multi Agents, RAG Systems and ML Automations
Hi, I’m Moiz Ahmed Mansoori, an AI Engineer building production-ready AI Agents, Multi-Agent Systems, and Voice AI experiences for businesses and startups.
From intelligent chatbots and voice assis...
About this Gig
Turn your images or data into accurate predictions using custom deep learning and computer vision models.
I build CNN-based AI systems that analyze image data and deliver reliable classification results tailored to your dataset.
WHAT YOU GET:
- Custom deep learning model trained on your image data
- CNN-based image classification system
- High-performance model optimization
- Data preprocessing and augmentation
- Model evaluation (accuracy, precision, recall, F1-score)
- Clean, documented Python code
PERFECT FOR:
- Image classification (X-rays, medical scans, photos)
- Object recognition tasks
- Quality inspection systems
- Defect detection in images
- Computer vision research projects
WHAT I WILL DO:
- Analyze your image dataset
- Design CNN architecture
- Train and optimize the model
- Test performance on your data
- Deliver final model + documentation
INCLUDED:
- Data preprocessing pipeline
- CNN model training
- Performance evaluation metrics
- Python implementation (TensorFlow / PyTorch)
- Clean Jupyter notebook with explanations
OPTIONAL ADD-ONS:
- Non-image datasets (tabular/text data)
- Full production deployment (available as add-on)
- Real-time API systems
Message me before ordering to discuss your dataset.
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
•
Other
APIs:
Other
Tools:
Jupyter Notebook
•
Colab
My Portfolio
FAQ
What data do you need to get started?
Share your dataset in CSV, Excel or image format along with your target variable and problem type. I will handle all preprocessing and cleaning.
Can you work with image datasets for CNN models?
Yes. I work with image classification, object detection and medical imaging datasets. I use TensorFlow, Keras and OpenCV for all CNN projects.
What evaluation metrics do you provide?
I provide accuracy, precision, recall, F1 score, ROC-AUC, confusion matrix and SHAP explainability plots — so you fully understand your model performance.
Will I receive the source code?
Yes. All packages include complete source code, a README with setup instructions and model evaluation report. Premium includes deployment guide.
Can you improve my existing model?
Yes. Share your current model and dataset. I will analyze performance bottlenecks, apply hyperparameter tuning, feature engineering and optimization to improve accuracy and generalization.
