You will get a project focused on Generative Adversarial Networks for image generation
Project details
I will design and implement Generative Adversarial Networks (GANs) to solve your AI challenges, whether it’s image generation, data augmentation, style transfer, super-resolution, or anomaly detection. With experience in CycleGAN, DCGAN, StyleGAN, Diffusion Models, and custom architectures, I deliver models that are both state-of-the-art and optimized for real-world performance.
My expertise also covers training, fine-tuning, and deploying GANs for diverse applications including:
-Image-to-Image Translation (e.g., sketches to realistic images, low-quality to high-quality images)
-Synthetic Data Generation for imbalanced datasets
-Image Enhancement (super-resolution, deblurring, defogging, denoising)
-Creative AI (art, avatars, textures, and media content)
-Anomaly & Fraud Detection using adversarial methods
I can also provide explainable AI integration, efficient GPU optimization, and deployment support to ensure the GAN solution is practical, scalable, and production-ready.
Unlike generic AI freelancers, I specialize in Generative AI with deep expertise in GANs and beyond. What sets me apart is my focus on innovation + efficiency.
My expertise also covers training, fine-tuning, and deploying GANs for diverse applications including:
-Image-to-Image Translation (e.g., sketches to realistic images, low-quality to high-quality images)
-Synthetic Data Generation for imbalanced datasets
-Image Enhancement (super-resolution, deblurring, defogging, denoising)
-Creative AI (art, avatars, textures, and media content)
-Anomaly & Fraud Detection using adversarial methods
I can also provide explainable AI integration, efficient GPU optimization, and deployment support to ensure the GAN solution is practical, scalable, and production-ready.
Unlike generic AI freelancers, I specialize in Generative AI with deep expertise in GANs and beyond. What sets me apart is my focus on innovation + efficiency.
Machine Learning Tools
ChatGPT, Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$200
|
Standard
$350
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 2 | 5 | 8 |
Number of Model Variations | 1 | 3 | 4 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 0 | 0 | 0 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $250About Muhammad Darab
AI & Deep Learning Engineer | Computer Vision, NLP & Generative AI
Lahore, Pakistan - 4:32 pm local time
✅ What I do best:
Computer Vision: Image generation (GANs, CycleGAN, Diffusion), medical & satellite image enhancement, object detection & classification.
Natural Language Processing (NLP): Text classification, fake news detection, sentiment analysis, and explainable AI (XAI) with SHAP, LIME, and attention mechanisms.
Generative AI: GANs, Diffusion Models, CycleGAN, and custom architectures for image-to-image translation and data augmentation.
Reinforcement Learning: Training agents in environments like CartPole & Reacher for decision-making and control tasks.
Lightweight & Efficient Models: Liquid Neural Networks (LNNs) and Kolmogorov-Arnold Networks (KANs) for high performance with fewer parameters.
🏆 Key Achievements:
Improved image similarity (SSIM) from 0.45 to 0.75 using enhanced CycleGAN for image defogging.
Built a fake news detection model with 82.5% accuracy using averaged word embeddings — currently optimizing for 90–95% with advanced embeddings and explainability techniques.
Deployed AI pipelines with GPU optimization, batching, and explainability for scalable performance.
Hands-on experience in ONNX model deployment, gRPC-based inference services, and Kafka streaming for real-time AI systems.
💡 Why work with me?
I specialize in delivering efficient, accurate, and explainable AI solutions without unnecessary complexity. I balance research-level innovation with real-world deployment to ensure models are both powerful and practical.
📩 Let’s collaborate to turn your AI ideas into reality — from research prototypes to production-ready systems.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Darab can start the project.
Delivery time starts when Muhammad Darab receives requirements from you.
Muhammad Darab works on your project following the steps below.
Revisions may occur after the delivery date.
Data Pre-processing
I will get the dataset or download the one that you shared. Afterwards, I will pre-process it using numpy and opencv using cropping, normalization, etc. techniques to get it into a format that is acceptable by the model.
Model Selection and Training
I will select the best model for your project and train it on the pre-processed dataset until it achieves a good performance.