You will get Pain Detection – VGG16, ResNet
Rising Talent
Project details
Our AI-driven pain detection system leverages advanced deep learning techniques, including VGG16 and ResNet architectures, to analyze facial expressions and physiological signals for accurate pain assessment. By integrating Grad-CAM for model interpretability and incorporating pulse monitoring, our solution offers a comprehensive and non-invasive approach to pain detection. This system is particularly beneficial in healthcare settings, enabling real-time monitoring and timely interventions for patients who may have difficulty communicating their pain levels. Our commitment to utilizing state-of-the-art AI methodologies ensures that our pain detection system is both reliable and efficient, setting it apart from traditional assessment methods.
Machine Learning Tools
GPT-3, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorchWhat's included
| Service Tiers |
Starter
$96.45
|
Standard
$239.35
|
Advanced
$346.52
|
|---|---|---|---|
| Delivery Time | 7 days | 16 days | 27 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 2 | 3 | 4 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$35.72Frequently asked questions
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Shubham P.
Sep 26, 2025
Create 12-Hour Python Programming Course with Projects – (Ownership Required)
Saira is a hardworking and sincere freelancer. She delivered a complete 12-hour Python course with clarity and dedication. Very cooperative, communicates well, and always open to feedback. Would be happy to work with her again.
TM
Tkeyah M.
Jul 19, 2023
Microcomp Applications Assistance
Saira is very kind and dedicated to getting whatever job she accepts completed in a timely fashion.
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Tkeyah M.
Jun 28, 2023
Microcomp Applications Assistance
About Saira
Artificial Intelligence Engineer specializing in computer vision,ML
Rahim Yar Khan, Pakistan - 9:55 pm local time
I am an Artificial Intelligence (AI) professional specializing in computer vision, machine learning, and deep learning. With a strong foundation in Python programming and extensive experience with libraries such as OpenCV, MediaPipe, Pygame, and Tkinter, I have developed and implemented innovative AI solutions across various domains. My expertise includes advanced deep learning techniques like YOLOv8, ResNet, Grad-CAM, and PCA, enabling me to address complex challenges and deliver impactful results.
Technical Skills
Programming Languages: Python
Libraries and Frameworks: OpenCV, MediaPipe, Pygame, Tkinter
Deep Learning Techniques: YOLOv8, ResNet, Grad-CAM, PCA
Projects and Accomplishments
Cotton Picker Robot Simulation: Developed a YOLOv8-based system for cotton detection using Pygame and Tkinter, enabling efficient simulation of the cotton-picking process.
Facial Expression Monitoring for Pain Assessment: Built a ResNet-based real-time pain detection system with Grad-CAM explainability and pulse monitoring using OpenCV and MediaPipe, providing non-invasive pain assessment solutions.
Face Recognition using PCA: Implemented a PCA-based face recognition system with Eigenface analysis, real-time detection, and incremental learning support, enhancing facial recognition accuracy and adaptability.
Education
MPhil in Artificial Intelligence: University of the Punjab, Lahore (2024-Present)
BS in Artificial Intelligence: The Govt Sadiq College Women University Bahawalpur (2020-2024), CGPA: 3.96/4.0
Intermediate (ICS): Punjab College (Girls) Khanpur (2018-2020), Marks: 910/1100
Matric: Tamir E Millat Secondary School (2016-2018), Marks: 958/1100
Languages
Urdu
English
Punjabi
Professional Approach
I am committed to delivering high-quality AI solutions tailored to client needs. My approach involves understanding the unique challenges of each project and applying my expertise to develop innovative and efficient solutions.
Client Requirements
To ensure the success of your project, please provide:
Dataset: Do you have a specific dataset, or should I use a pre-existing one?
Project Scope: Detailed description of the problem and desired outcomes.
Deadline: Expected timeline for completion.
Steps to Complete Your Project
Requirement Analysis: Gather project details, dataset requirements, and deployment preferences to ensure the model meets client expectations.
Data Collection and Preprocessing: Acquire and preprocess the dataset to ensure quality and relevance.
Model Development: Design and train the AI model using appropriate architectures and techniques.
Testing and Validation: Rigorously test the system to ensure accuracy and reliability.
Client Feedback and Iteration: Incorporate client feedback to refine and improve the system.
I am dedicated to leveraging my expertise to deliver solutions that not only meet but exceed your expectations. Let's collaborate to bring your AI projects to fruition.
Steps for completing your project
After purchasing the project, send requirements so Saira can start the project.
Delivery time starts when Saira receives requirements from you.
Saira works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
I will gather project details, dataset requirements, and deployment preferences to ensure the model meets client expectations. This includes defining pain classification levels, selecting the best AI model, and planning system integration.