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I will train and deploy ml models using python flask and django integration
Edge Ai, Machine learning, Deep learning, Computer Vision, Pytorch
AI & Machine Learning engineer with hands-on experience building scalable, data-driven systems. I develop predictive models, deep learning solutions, and end-to-end AI pipelines using Python and moder...
About this Gig
Hello
Are you Looking for a Machine Learning model that lives inside a production web app?
I specialize in the end-to-end lifecycle of Data Science, from AI model training to ML model deployment with Python Flask and Django integration.
Services Offered:
- Custom Model Training: Classification, Regression, Clustering, and Time-Series.
- Computer Vision: Image classification and Object Detection (YOLO, OpenCV).
- NLP: Sentiment analysis, Transformers, and LLM-based apps.
- Deep Learning: CNN, LSTM, and GNN architectures.
- Web Integration: Developing REST APIs for Django or Flask.
- Deployment: Model serialization (Pickle/ONNX) via Docker, AWS, or GCP.
Technical Stack:
- AI: Scikit-learn, TensorFlow, PyTorch, XGBoost, Pandas.
- Web: Django, Flask, FastAPI.
- Data: EDA, Preprocessing, and Visualization.
Why Choose Me?
I deliver production-ready code, not just scripts. You get a fully integrated, well-commented, and scalable system.
Message me before ordering with your dataset and goal to confirm feasibility!
My Portfolio
FAQ
What ML deployment services do you offer? A: I specialize in AI model training and ML
model deployment using Python Flask and Django integration. I build scalable REST APIs to connect your machine learning models to production-ready web apps.
Can you integrate AI models into existing Django apps? A: Yes! I provide seamless Django
integration for deep learning and scikit-learn models. I’ll develop the backend architecture to handle real-time predictions and data processing.
Which Python frameworks do you use for ML APIs?
A: I primarily use Python Flask and Django for robust integration. For high-performance requirements, I also implement FastAPI to serve your machine learning models via RESTful endpoints.
Do you handle data science and preprocessing?
Absolutely. My data science services include EDA, data cleaning, and feature engineering to ensure your custom AI model is trained on high-quality datasets for maximum accuracy.
Can you deploy models to the cloud?
Yes. I offer ML model deployment on AWS, GCP, and Azure. I use Docker to containerize your Flask or Django app, ensuring a smooth transition to production environments.
What types of AI models can you train?
I train NLP, Computer Vision (YOLO), and Predictive Analytics models. Whether it’s regression, classification, or neural networks, I ensure top-tier performance.
How do I receive the final ML integration?
You receive the fully commented Python code, the serialized model (Pickle/ONNX), and a working Flask/Django setup with a detailed README for easy deployment.
