Trained a CNN-based SWIN Transformer model to achieve 98% accuracy in real-world agricultural settings, offering strategic insights to users. • Enabled platform accessibility for all farmers as facilitated by multilingual support in Hindi and English by developing the web platform using React and Django. • Implemented real-time, personalized plant care advice as monitored by user engagement metrics by integrating a Chatbot powered by the Gemini API. • Crafted a responsive and user-friendly interface as measured by user satisfaction surveys by implementing modern design principles using React and Tailwindcss.