Smart Farming and Precision Agriculture |Python django, Edge Impulse, Kaggle, Streamlit

• Developed machine learning models one that detects and classify pests with a precision of 93% and the other for
recommendations
• Developed a web-based application for inference to help farmers detect pests, and get specific guidance on
control
• Used machine learning and expert judgement to give recommendations to farmers on types of crops they
can plant, irrigation cycles, application of nutrients, lime etc