AMAL FAQIHI

Intelligent Farming Research – AI-Driven Agricultural Systems

2025 - Present

• Worked as part of a multidisciplinary research group guided by PhD researchers in computer science, AI, and environmental systems.
• Gained experience across the full research cycle: hypothesis design, data analysis, experimentation, and publication preparation.
• Collaborated on cross-disciplinary knowledge transfer, including IoT, environmental systems, and agricultural engineering.
• Developed skills in deep learning, sensor fusion, and real-time data analysis, with opportunities for conference presentations and co-authorship.

AMIN: AI-Powered Environmental Platform (Team Lead) 

 January 2025 - May 2025

• May 2025 Led a team to develop an AI-driven platform using real-time drone imagery to detect urban issues (e.g., potholes, waste, infrastructure damage).
• Engineered a multi-label classification model (CNN-based) achieving 94.4% accuracy, deployed via Flask for scalable access.
• Integrated OpenCV and TensorFlow for image preprocessing and model training, reducing manual inspection time.

Logistima: Blockchain & AI-Powered Logistics Platform (Team Lead / Co-Founder)  

May 2023 - Present  

• Designed a real-time tracking system using NFC tags and IoT, reducing manual tracking errors by 70% and improving transparency.
• Implemented AI-driven predictive analytics to forecast delivery times with 90% accuracy, optimizing routes during peak demand .
• Spearheaded the development of an intermediary logistics platform leveraging blockchain Smart Contracts and AI to solve shipment delays and theft in Saudi Arabia.