๐Ÿค– Projects

AI, LLMs, and Geospatial Applications

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Models, Datasets, and AI Spaces

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๐Ÿง  Agentic AI Projects

Agentic AI Chatbot for Agriculture In Progress

A work-in-progress agent: exploring RAG for context-aware agronomic advice, QLoRA fine-tuning of LLaMA, and multi-agent orchestration with CrewAI & Nvidia NeMo.

RAG QLoRA CrewAI Nvidia NeMo Python

๐Ÿง  Models

๐Ÿ“Š Datasets

๐ŸŒ Geospatial & Agriculture

Predictive Soil Analytics Dashboard

Interactive dashboard for real-time soil property predictions. Backend inference using pre-trained Chemometric ML models with a "Farmer Guide" interface.

Machine Learning R Shiny Chemometrics
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๐ŸŽ“ Research

M.Sc. Thesis: Soil Spectroscopy & ML Modeling

Engineered automated pipelines for soil spectral data (Vis-NIR) using SNV/MSC and PCA. Trained Random Forest and SVR models for Moroccan soil predictions. Established "Trust & Quality" framework for model uncertainty.

Machine Learning Soil Spectroscopy Random Forest SVR

Remote Sensing Research: Radar-Based Crop Monitoring

Built cloud-based monitoring workflows using Google Earth Engine to process multi-temporal Sentinel-1 SAR. Integrated CHIRPS Rainfall and ERA5 climate data to model crop response to thermal stress.

Google Earth Engine Sentinel-1 SAR Remote Sensing Climate Data

Bachelor Thesis: Drone vs. Satellite vs. LiDAR

Comparative analysis from Timoulit region (Morocco). Processed with Agisoft Metashape, Pix4D, and ArcGIS.

Remote Sensing Drones LiDAR