You will get AI-Powered Image & Video Analysis with Deep Learning


Project details
You will get a custom-built AI solution for image and video analysis that leverages deep learning and computer vision techniques to accurately classify and detect objects in your dataset. I specialize in building high-performance models that are ready for deployment, tailored to your business or research needs.
With expertise in Python, TensorFlow, PyTorch, OpenCV, and real-world ML/DL applications, I ensure the models I deliver are optimized for both accuracy and efficiency. I provide complete documentation, evaluation metrics, and reproducible code, making it easy for you to integrate the solution into your workflow.
Whether you need image classification, object detection, facial recognition, or video tracking, my projects are designed to save you time, automate processes, and deliver actionable insights. Every project I deliver is custom, high-quality, and thoroughly tested to meet your specific requirements.
With expertise in Python, TensorFlow, PyTorch, OpenCV, and real-world ML/DL applications, I ensure the models I deliver are optimized for both accuracy and efficiency. I provide complete documentation, evaluation metrics, and reproducible code, making it easy for you to integrate the solution into your workflow.
Whether you need image classification, object detection, facial recognition, or video tracking, my projects are designed to save you time, automate processes, and deliver actionable insights. Every project I deliver is custom, high-quality, and thoroughly tested to meet your specific requirements.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Google AutoML, GPT-3, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SciPy, SQL, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Frequently asked questions
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GY
Ghulam Y.
Feb 12, 2026
AI/ML Engineer for Fetal Movement Detection Model Training
Mudassar did an excellent job! Professional, timely, and great quality work. Highly recommended!
About Mudassar
AI/ML Engineer, Deep Learning, GenAI , MLOps , AI Agent & AI Chatbot
Muzaffargarh, Pakistan - 2:54 am local time
Ready to turn AI from confusion into clarity — and real, measurable impact?
Whether you’re building your first AI feature or scaling ML models into production, the challenges can feel overwhelming. If any of these sound familiar, you’re exactly in the right place.
✔ Struggling to integrate AI/ML into your product or workflow?
✔ Unsure how to architect, train, or deploy Deep Learning models?
✔ Losing time due to manual processes that AI Agents could automate?
✔ Getting poor accuracy because your data is messy or inconsistent?
✔ Feeling confused by LLMs, RAG, embeddings, vector databases, or model fine-tuning?
✔ Lacking a clean MLOps pipeline for deployment, monitoring, and scaling?
You don’t need to handle this alone — that’s what I’m here for.
Who I Am:
I’m an AI/ML Engineer specialising in Deep Learning, NLP, Computer Vision, Generative AI, AI Agents, LLM Applications, and MLOps.
I help startups, founders, and businesses move from idea → prototype → scalable AI product.
With strong experience in Python, PyTorch, TensorFlow, OpenCV, LangChain, HuggingFace, and modern cloud/MLOps tools, I build production-grade AI systems that are reliable, accurate, and built for real-world use.
My approach is straightforward:
✔ Understand the business goal
✔ Build the right AI solution
✔ Deploy it into production
✔ Optimize it for performance, accuracy, and scalability
Core Expertise:
Machine Learning & Deep Learning
✔ Custom ML models (classification, regression, forecasting, recommendation)
✔ Deep Learning networks built with PyTorch/TensorFlow
✔ Model optimization, tuning, and performance improvement
✔ Data cleaning, preprocessing, augmentations, and feature engineering
✔ Explainable ML and interpretable AI
Computer Vision:
✔ Object detection (YOLO, Faster R-CNN, SSD)
✔ Image segmentation (UNet, Mask R-CNN)
✔ Image classification and recognition
✔ Video and webcam-based real-time CV systems
✔ OpenCV-based automation and image processing
✔ OCR and document understanding
NLP & Generative AI:
✔ LLM fine-tuning (Llama, Mistral, Qwen, GPT models)
✔ Text classification, NER, sentiment analysis
✔ Document summarization and semantic search
✔ Chatbot and conversational AI development
✔ Embeddings + vector similarity search
✔ Prompt engineering and LLM optimization techniques
RAG (Retrieval-Augmented Generation):
✔ RAG architecture design using vector databases
✔ Intelligent document retrieval and QA systems
✔ Enterprise knowledge-base automation
✔ Seamless integration with LangChain, LlamaIndex, or custom pipelines
AI Agents & Automation:
✔ LangChain/CrewAI multi-agent systems
✔ Task orchestration and tool-enabled agents
✔ Process automation for business operations
✔ Decision-making agents for workflows
MLOps (Machine Learning Operations):
✔ Deployment using FastAPI/Flask
✔ Building ML pipelines (MLflow, DVC, Airflow)
✔ Docker, Kubernetes, CI/CD integration
✔ Cloud deployment on AWS, GCP, and Azure
✔ Model monitoring, retraining, and scaling
What I Can Build for You (End-to-End):
✔ AI-powered applications built from scratch
✔ Highly accurate ML/DL models tailored to your data
✔ Production-ready APIs for your AI models
✔ Custom Generative AI apps using LLMs and embeddings
✔ AI Agents to automate workflows and decision-making
✔ Computer Vision systems for images and real-time video
✔ Search and QA systems using RAG + vector databases
✔ Fully automated ML pipelines and cloud deployments
I ensure every solution includes:
✔ Clean and optimized code
✔ Professional documentation
✔ Scalable architecture
✔ Reproducible pipelines
✔ Production-level reliability
How My Work Helps You
✔ Reduce operational costs through automation
✔ Increase speed and accuracy of AI systems
✔ Build more intelligent products using LLMs & Deep Learning
✔ Unlock the value hidden in your data
✔ Deploy fast, robust AI models without technical stress
✔ Make your business AI-enabled and future-ready
Clients typically see improvements such as:
✔ 5x–10x faster automation
✔ 30%–60% accuracy improvement after tuning
✔ 50% faster inference using optimized pipelines
✔ Smooth deployment and reliable scaling
Technologies I Use:
Python, PyTorch, TensorFlow, Scikit-Learn, Keras, HuggingFace Transformers, LangChain, OpenCV, Stable Diffusion, MLflow, DVC, FastAPI, Flask, Redis, FAISS, Pinecone, Weaviate, Docker, Kubernetes, Git, SQL/NoSQL databases, AWS, Azure, GCP.
Why Work With Me
✔ Strong expertise across ML, Deep Learning, GenAI, NLP, CV, and MLOps
✔ Clean, production-ready implementations
✔ Clear communication and timely delivery
✔ Focus on business outcomes, not just technical tasks
✔ Ability to explain complex AI concepts in simple terms
✔ End-to-end development: data → model → deployment → optimization
I blend engineering, AI research, and product thinking to create solutions that actually work in the real world.
Let’s Talk!
Steps for completing your project
After purchasing the project, send requirements so Mudassar can start the project.
Delivery time starts when Mudassar receives requirements from you.
Mudassar works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection & Preparation
I will clean, preprocess, and organize your dataset, including resizing images, labeling, and splitting into training and validation sets.
Model Selection & Training
I will choose the best deep learning architecture (e.g., YOLO, ResNet, or EfficientNet) and train the model on your dataset for optimal accuracy.
