oumaima lahkiar
Software Engineer | AI & Data Science
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Remaining Useful Life Prediction for Aircraft Engines
Category
Machine Learning • Time Series • Predictive Maintenance
Description
Developed an AI-based predictive maintenance solution to estimate the Remaining Useful Life (RUL) of aircraft engines using multivariate time-series sensor data. The project involved preprocessing sequential data, feature engineering, model training, and performance evaluation to accurately predict engine degradation before failure. The solution demonstrates how Machine Learning can reduce maintenance costs and improve operational reliability in industrial environments.
My Contributions
Cleaned and preprocessed multivariate time-series data
Performed feature engineering and data normalization
Built predictive Machine Learning models for RUL estimation
Evaluated model performance using regression metrics
Visualized degradation trends and prediction results
Optimized the prediction pipeline
Technologies
Python
Pandas
NumPy
Scikit-learn
TensorFlow
Time Series Analysis
Predictive Maintenance
Data Visualization
Machine Learning
Key Skills
Predictive Maintenance
Remaining Useful Life (RUL)
Time-Series Forecasting
Regression Models
Data Preprocessing
Feature Engineering
Industrial AI
1
3
skillBridge – Freelance Marketplace
Category
Full-Stack Web Development
Description
Developed a freelance marketplace connecting clients and freelancers. The platform allows users to publish projects, submit proposals, manage applications, and rate each other through a complete multi-user workflow.
My Contributions
Developed backend modules
Designed relational database
Implemented authentication
Created CRUD operations
Built project and application management features
Technologies
Laravel
PHP
MySQL
JavaScript
HTML
CSS
Git
GitHub
UML
1
7
AssistWalk – AI-Powered Navigation Assistant
Category
AI • Computer Vision • Mobile Development
Description
Developed an intelligent assistance platform for visually impaired people, combining mobile, web, and backend technologies. The application uses AI and Computer Vision to detect obstacles in real time, perform OCR on text, provide voice assistance, and send SOS alerts with geolocation. The solution also includes companion and administrator web dashboards for monitoring and management.
My Contributions
Designed the backend architecture with Spring Boot
Developed AI features for obstacle detection and OCR
Built REST APIs
Integrated Firebase services
Designed the PostgreSQL database
Collaborated on Flutter and React applications
Technologies
Spring Boot
React
Flutter
PostgreSQL
Firebase
Python
Machine Learning
Computer Vision
OCR
0
20
Industrial Operations Management System (OCP Internship)
Category
Full-Stack Development
Description
Developed an industrial web application during my internship at OCP Group to digitalize manufacturing processes. The platform enables real-time production monitoring, matrix generation, and operational alert management, helping streamline industrial workflows.
My Contributions
Developed the Laravel backend
Designed the MySQL database
Implemented MVC architecture
Built responsive interfaces
Integrated real-time operational features
Technologies
Laravel
PHP
JavaScript
MySQL
HTML
CSS
MVC
UML
0
24