Digifarmer | AI-Driven Agricultural Companion

Features

• AI-driven plant disease detection using CNN models.
• Real-time weather forecasts for precise farming planning.
• Agricultural news updates to keep farmers informed.
• Crop health diagnostics to identify issues early.
• GPS-based location services for localized data.

Challenges

• Optimizing machine learning models for efficient on-device performance.
• Integrating multiple external APIs for weather and news seamlessly.
• Designing an intuitive user interface for farmers with varying technical literacy.
• Ensuring accurate disease detection across different lighting conditions and plant types.

Learnings

• Mastered Flutter for building performant cross-platform mobile apps.
• Gained deep insights into deploying ML models on mobile devices.
• Learned to handle real-time data synchronization and API integrations.
• Understood the specific needs and constraints of agricultural technology users.

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