You will get Build a Facial Keypoints Detection Model using CNN (Deep Learning)
Project details
You will get a complete facial keypoints detection system built using a Convolutional Neural Network (CNN) in Python. This project is ideal for applications like medical diagnostics, emotion recognition, and AI-based security.
I bring strong expertise in computer vision, machine learning, and deep learning frameworks like TensorFlow and Keras. My model achieves a high-accuracy RMSE score of 0.0230, trained and validated on real-world face image datasets.
What sets this project apart is the clean pipeline, quality visualizations, well-documented code, and the ability to deliver in your preferred format — Jupyter Notebook, model file, or report. I care deeply about making AI projects both functional and understandable.
Let’s work together to build something impactful and insightful.
I bring strong expertise in computer vision, machine learning, and deep learning frameworks like TensorFlow and Keras. My model achieves a high-accuracy RMSE score of 0.0230, trained and validated on real-world face image datasets.
What sets this project apart is the clean pipeline, quality visualizations, well-documented code, and the ability to deliver in your preferred format — Jupyter Notebook, model file, or report. I care deeply about making AI projects both functional and understandable.
Let’s work together to build something impactful and insightful.
Machine Learning Tools
ChatGPT, Keras, Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code |
About Niher
ML Engineer | Python | Computer Vision |Deep Learning | Kaggle Project
Dhaka, Bangladesh - 11:27 am local time
I help clients solve business and technical problems using:
📊 Machine Learning (regression, classification, XGBoost, evaluation)
🧠 Deep Learning & Computer Vision (CNN, facial keypoints detection)
📈 Data Analysis & Visualization (Pandas, Seaborn, Matplotlib)
🛠️ Python, Jupyter, TensorFlow/Keras, OpenCV
✅ I’ve completed practical ML projects including:
🧠 Facial Keypoints Detection using CNN (RMSE = 0.0230)
🏠 House Price Prediction with XGBoost (explaining features & impact)
💼 A simulated client business prediction project from scratch.
Steps for completing your project
After purchasing the project, send requirements so Niher can start the project.
Delivery time starts when Niher receives requirements from you.
Niher works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Preprocessing
I will analyze the dataset, clean and reshape the data, and prepare it for training. You'll get visual previews and preprocessing summary.
Model Development & Evaluation
I will build and train the CNN model using Keras/TensorFlow. You'll receive validation metrics, sample outputs, and optional visualizations.