PODDA (Plant Observation And Disease Detection Assistant)

The Plant Disease Detection App uses AI to identify crop diseases via smartphone photos, provides treatment advice, real-time chatbot support, and a marketplace for farmers, ensuring sustainability.

Comment 2

Inspiration

What it does

HowAbout the Project

Our project was inspired by the challenges faced by farmers in diagnosing crop diseases early and efficiently. We aimed to create a comprehensive tool that empowers farmers with technology, reduces crop losses, and connects them with resources.

What it Does

Detects crop diseases through advanced image recognition technology. Provides real-time assistance using intelligent chatbots. Includes a marketplace for farmers to buy and sell agricultural products.

How We Built It

Used a convolutional neural network (CNN) for disease detection. Integrated a natural language processing (NLP)-based chatbot for seamless farmer interactions. Designed a user-friendly interface and a secure platform for the marketplace using modern web frameworks and databases.

Challenges We Ran Into

Acquiring a diverse dataset for training the disease detection model. Optimizing chatbot accuracy for regional languages. Ensuring the marketplace meets security and scalability requirements.

Accomplishments We're Proud Of

Successfully implemented a high-accuracy disease detection model. Developed a multilingual chatbot to support diverse farmer communities. Launched a fully operational marketplace integrated into the application.

What We Learned

The importance of user-centric design in agriculture-focused technologies. Technical insights into image recognition and NLP integration. Collaboration and innovation in solving real-world challenges.

What's Next

Expanding the disease database to cover more crops. Adding voice-based interaction for the chatbot. Partnering with agricultural agencies to increase outreach.

Built With

Programming Languages: Python, Kotlin. Frameworks: TensorFlow/Keras/TensorFlow lite for AI models, Kotlin for the backend.

Platforms: AWS for cloud services.

Databases: PostgreSQL.

APIs: Twilio for chatbot interaction, Payment Gateways for transactions. we built it

Built With

Share this project:

Updates