You will get a facial emotion recognition AI model using deep learning
Project details
You will get a custom facial emotion recognition AI model that detects 7 emotions (Angry, Disgust, Fear, Happy, Neutral, Sad, Surprise) from images with 73% accuracy. Built with Keras/TensorFlow deep learning, this solution includes model architecture, trained weights, training notebook, and documentation. Whether you need static image analysis or real-time video processing, I deliver clean, deployable code with confusion matrix analysis and accuracy metrics. Perfect for market research, UX testing, mental health apps, or interactive installations.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, deeplearn.js, Deeplearning4j, GitHub Copilot, Kubeflow, Minitab, NumPy, OpenCV, Python, Python Scikit-Learn, SAS, Sonnet, SQL, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$85
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 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 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Frequently asked questions
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PD
Paul D.
Jun 25, 2026
AI engineer LLM integration & RAG pipeline (LangChain + FastAPI)
Lilyom was very helpful with given project.
About Lilyom
AI & Machine Learning Engineer | Deep Learning | NLP | Computer Vision
Hunza, Pakistan - 6:33 pm local time
My core expertise spans:
🔹 Machine Learning & Deep Learning Scikit-learn, TensorFlow, PyTorch, Keras
🔹 Natural Language Processing (NLP) LLMs, LangChain, Hugging Face Transformers, fine-tuning GPT/BERT models
🔹 Computer Vision image classification, object detection, facial recognition, OpenCV
🔹 Data Science & Analytics Pandas, NumPy, Matplotlib, Seaborn, Power BI, SQL
🔹 Model Deployment Flask, FastAPI, Docker, Streamlit, cloud APIs (OpenAI, Gemini)
What I Can Do For You:
✅ Build and train custom ML models (classification, regression, clustering)
✅ Develop NLP pipelines chatbots, text classification, sentiment analysis, summarization
✅ Create computer vision systems object detection, image recognition, facial emotion analysis
✅ Fine-tune large language models (LLMs) for your specific domain
✅ Design end-to-end data science workflows EDA, feature engineering, model evaluation
✅ Deploy AI models as REST APIs or interactive web apps (Streamlit/Flask)
✅ Build AI-powered chatbots and automation tools using OpenAI / LangChain
I hold a Bachelor's degree in Computer Science and an Associate's degree in Artificial Intelligence. I'm currently completing my BCompSc at Karakoram International University (2022–2026), which means I'm actively learning the latest advancements in the field.
I'm detail-oriented, communicate clearly, and deliver clean, well-documented code. I believe in building long-term client relationships based on transparency and results.
If you need a reliable AI/ML engineer who can turn your data into real intelligence .
let's talk.
Steps for completing your project
After purchasing the project, send requirements so Lilyom can start the project.
Delivery time starts when Lilyom receives requirements from you.
Lilyom works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Setup
provides dataset preference, project type, and emotion list. I prepare the environment and configure data pipelines.
Data Preparation
I process images (48×48 grayscale), apply data augmentation (rotation, zoom, shifts), and split data for training/validation.