Projects, case studies
and research.
Projects in applied AI, machine-learning research and software development, with the context, contribution and outcomes behind each one.
Portfolio projects
Phishing Detection
AI-powered phishing email detection research and product development.
Smart Irrigation
Machine-learning and IoT research for data-informed irrigation.
LucidLink
Multi-modal environmental awareness and real-time guidance.
Smart Dietary Assistant
Applied research into meal recognition and personalised dietary guidance.
PeerFit App
Native social-fitness app for discovering and joining local sport events.
Rona Cards
NFC digital business cards and bilingual professional portfolios.
OmniPixel
Strategic brand and digital communication agency website for premium hospitality and food brands.
Docview
Healthcare management and online consultation platform.
MARoselle
Premium Moroccan e-commerce platform for contemporary craft.
Interview Flashcards
Machine-learning interview preparation through active recall.
RONA Labs
Bilingual digital services platform connecting positioning, conversion and production delivery.
PeerFit Website
Marketing website and smart app-download funnel for the PeerFit fitness community.
Frequently
Asked Questions
Clear context about the work, roles,
and technologies represented.
Each case study explains the problem, Abdelilah Nossair’s role, the product or research decisions, the implementation approach and the resulting deliverable.
Yes. The portfolio includes commercial platforms, founder-led products, academic research and engineering prototypes. Each project page identifies its context and role.
The work spans machine learning, computer vision, IoT, data systems, React and React Native products, Node.js and Python services, dashboards, e-commerce and conversion-focused websites.
Yes. Share the problem, current workflow and desired result through the contact page, and Abdelilah will reply with a practical next step.