You will get an efficient Face and emotion Recognition app which have +99 % accuracy
Project details
ou will get a tool that detects emotions in order to be used in any application.
Using the FER dataset consisting of 48×48 pixels greyscale images of faces the task is to categorize each face based on the emotion shown in the facial expression into one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).
Using the FER dataset consisting of 48×48 pixels greyscale images of faces the task is to categorize each face based on the emotion shown in the facial expression into one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).
What's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 7 days | 5 days | 2 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 2 | 4 | 6 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Model Documentation
(+ 1 Day)
+$80
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RC
Rojen C.
Oct 19, 2023
Senior Python Developer with GCP experience (Quality + Speed)
Youssef had Excellent communication throughout the project. It made the collaboration smooth and stress-free.
ps
prajwal s.
Nov 1, 2022
AI and API for Streaming video
One of the versatile and technically competent engineers i have met in the field of Machine learning and Development. Youssef has been able to adapt to project requirements and gone beyond his comfort zone to understand and realize the requirements. He has also provided great enhancement ideas to the requirements.
I will definitely work with Youssef in the future.
I will definitely work with Youssef in the future.
DF
Diego F.
Oct 29, 2022
AI developer needed for a 1-hour test of an opensource library
AA
As A.
Feb 22, 2022
NMT models
Great communication, great skills in machine learning and NLP, project finished way ahead of schedule. I would be glad to work again with Youssef and AI-MFUL team
aP
abhi P.
Nov 27, 2021
Rewrite Python code snippets
About Youssef
Senior AI/ML Engineer, LLMs, RAG Pipelines, Multi-Agent Systems
Mansoura, Egypt - 4:38 am local time
across automotive, supply chain, insurance, oil & gas, and telecom — primarily for
US-based clients.
My work spans the full ML spectrum:
GENERATIVE AI AND MULTI-AGENT SYSTEMS
Designing and deploying LLM-powered applications, RAG pipelines, and multi-agent
orchestration systems using Google ADK, LangChain, and LangGraph on GCP and AWS.
Recent work includes a 7-agent supply chain orchestration system, a Conversational AI
retention platform that increased customer engagement 7x, and an Autonomous
Multi-Agent Marketing Campaign Generator.
COMPUTER VISION
End-to-end CV pipelines for detection, segmentation, classification, and OCR —
from dataset curation and model training to production deployment. Built a
Geospatial Vision and Property Intelligence system combining satellite imagery with
LLM reasoning for insurance underwriting, and a P&ID engineering diagram detection
pipeline for Oil & Gas that cut annotation costs by 90%+.
NATURAL LANGUAGE PROCESSING
Text classification, named entity recognition, semantic search, summarization, and
machine translation. Strong background in both classical NLP and transformer-based
approaches.
CLASSICAL MACHINE LEARNING
Regression, classification, clustering, time series forecasting, and feature
engineering across structured and tabular data. Delivered forecasting models and
anomaly detection systems in supply chain and telecom contexts.
DATA AND MLOps
Pipeline automation with Apache Airflow, experiment tracking, model versioning, and
cloud deployment via GCP (Vertex AI, Cloud Run, GKE) and AWS (SageMaker, Lambda).
Core stack: Python, Google ADK, LangChain, LangGraph, PyTorch, TensorFlow,
Scikit-learn, OpenCV, FastAPI, PostgreSQL, Docker, Terraform, GCP, AWS
Certified:
AWS Certified Machine Learning – Specialty
GCP Professional Machine Learning Engineer
I own projects end-to-end — from architecture and training through deployment and
monitoring. If you need someone who delivers production-grade AI, not just
prototypes, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Youssef can start the project.
Delivery time starts when Youssef receives requirements from you.
Youssef works on your project following the steps below.
Revisions may occur after the delivery date.
Get Faces Dateset from the client
Integrate dataset with the app via the database