Aziz7905/FarmWise

FarmWise is a data science project developed as part of the coursework at ESPRIT University, Tunisia. The project leverages artificial intelligence (AI) and data analysis to tackle modern agricultural challenges, such as optimizing resource use, improving crop yield, and addressing the impacts of climate change. # FarmWise **FarmWise** is a collaborative data science project designed to optimize farm management using advanced machine learning techniques. Developed as part of the **"Data Science and Machine Learning" program at ESPRIT University**, this project aims to address the challenges faced in agriculture through data-driven solutions. ## Table of Contents - Introduction - Features - Technologies Used - Contributors ## Introduction Agriculture is the backbone of many economies, yet it faces numerous challenges such as resource inefficiency, unpredictable weather patterns, and pest control. **FarmWise** leverages data science and machine learning to provide actionable insights that help farmers make better decisions and optimize their yields. This project was developed collaboratively by a team of seven students as part of their academic coursework at ESPRIT University in Tunisia. ## Features - Data collection and preprocessing for agricultural datasets. - Machine learning models for predicting yield, resource management, and pest detection. - Interactive frontend for visualizing data and insights. - Backend integration to manage data pipelines and model deployment. ## Technologies Used - **Django** - **Data Analysis & Modeling**: Python (NumPy, Pandas, Scikit-learn, TensorFlow) - **Database**: Sqlite - **Version Control**: Git, GitHub ## Contributors - Barkaoui Aziz Allah - Naoui Fatma - Nour El Houda Ouni - Bchir Med Aziz - Allaya Med Aziz - Latrach Nada - Bahri Yasmine