You will get XAI Reports using SHAP LIME and GradCAM for Model Transparency
Project details
Unlock the "Black Box" of your Machine Learning Models with advanced XAI techniques.
In today's AI landscape, high accuracy isn't enough you need to understand why your model makes specific predictions. Whether you need to build trust with stakeholders, debug a failing model, or ensure regulatory compliance, I provide the transparency you need.
I specialize in three core pillars of Explainable AI:
SHAP (SHapley Additive exPlanations): I will provide global feature importance plots and dependence plots to show exactly which variables drive your model's decisions.
LIME (Local Interpretable Model-agnostic Explanations): I will analyze specific instances (predictions) to explain individual "what-if" scenarios.
Grad-CAM: For Computer Vision and Deep Learning (CNNs), I will generate heatmaps that visualize exactly where your model is "looking" in an image.
What you get:
Clean, commented Python code (Jupyter Notebooks).
High-resolution visualizations ready for reports or presentations.
Actionable insights into your model's behavior.
Stop guessing. Let's make your AI transparent, interpretable, and trustworthy.
In today's AI landscape, high accuracy isn't enough you need to understand why your model makes specific predictions. Whether you need to build trust with stakeholders, debug a failing model, or ensure regulatory compliance, I provide the transparency you need.
I specialize in three core pillars of Explainable AI:
SHAP (SHapley Additive exPlanations): I will provide global feature importance plots and dependence plots to show exactly which variables drive your model's decisions.
LIME (Local Interpretable Model-agnostic Explanations): I will analyze specific instances (predictions) to explain individual "what-if" scenarios.
Grad-CAM: For Computer Vision and Deep Learning (CNNs), I will generate heatmaps that visualize exactly where your model is "looking" in an image.
What you get:
Clean, commented Python code (Jupyter Notebooks).
High-resolution visualizations ready for reports or presentations.
Actionable insights into your model's behavior.
Stop guessing. Let's make your AI transparent, interpretable, and trustworthy.
AI Development Type
Deep Learning, Model TuningAI Tools
deeplearn.js, Keras, MLflow, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $100
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RS
Ramon S.
Apr 17, 2026
AI Engineer for Daily Widget Development
I would highly reccomend using Iqra for your projects! She was fast and professional.
About Iqra
AI & Machine Learning |
Chiniot, Pakistan - 12:17 am local time
Steps for completing your project
After purchasing the project, send requirements so Iqra can start the project.
Delivery time starts when Iqra receives requirements from you.
Iqra works on your project following the steps below.
Revisions may occur after the delivery date.
Model Loading & Data Preprocessing
I will load your trained model environment and format the sample dataset to ensure it is compatible with the selected XAI libraries.
Integration of XAI Libraries
I will configure and apply the appropriate explainability tool (SHAP for feature importance, LIME for local instances, or GradCAM for images).