Green Pulse | Devpost

GreenPulse Logo
project screenshot
project screenshot

Inspiration

We are a team from a South Asian country where agriculture is a significant part of life and the economy. Having witnessed firsthand the struggles that farmers face when dealing with plant diseases and limited access to expert resources, we were motivated to create Green Pulse. Our goal was to develop a tool that harnesses the power of technology to make plant care more accessible and efficient for farmers, gardeners, and plant enthusiasts alike.

What it does

Green Pulse is an AI-powered add-on for Adobe Express that allows users to upload an image of a plant and receive an immediate diagnosis. The tool identifies potential diseases using Gemini AI, provides detailed explanations, and suggests effective treatment solutions. It also offers access to related articles for further reading, helping users gain a deeper understanding of plant health management.

How we built it

We built Green Pulse using a combination of powerful tools and technologies:

## Frontend:

Developed with HTML/CSS/JavaScript for a responsive user interface, integrated seamlessly into Adobe Express. Additionally, Android Studio was used to create a mobile application for enhanced accessibility.

## Backend:

Constructed using Spring Boot for building scalable and secure RESTful APIs. Firebase was utilized for user authentication and real-time database management, while MySQL handled structured data storage.

AI Model:

A convolutional neural network (CNN) was trained on a diverse set of plant disease images from trusted agricultural sources, ensuring accurate detection and analysis.

APIs:

Custom and external APIs were developed to facilitate data exchange between the frontend, AI model, and backend.

Challenges we ran into

Developing Green Pulse was not without its challenges:

Integration with Adobe Express: Adapting our solution to work smoothly with Adobe Express required detailed customization and testing.
Large Image Data Handling: Processing high-resolution images efficiently was complex, and we had to optimize the backend for speed and accuracy.
Latency Optimization: Reducing response times for real-time analysis involved fine-tuning image preprocessing and leveraging multi-threading in the backend.
Ensuring Data Security: Protecting user data was a top priority, so we implemented end-to-end encryption and strict data privacy protocols.

Accomplishments that we're proud of

Successfully training an AI model capable of accurately detecting a range of plant diseases. Seamless integration with Adobe Express, making the tool highly accessible to users. Creating a user-friendly interface that simplifies complex plant diagnostics for non-technical users. Developing a secure and scalable backend that supports real-time processing and data storage.

What we learned

Throughout this project, we learned:

The importance of optimizing machine learning models for real-world application and response times.
Advanced backend development practices for building reliable, secure APIs with Spring Boot and Firebase.
Effective collaboration and problem-solving as a team, balancing various technical tasks and project timelines.
The real-world impact of technology on the agricultural sector and the value of user-centric design in creating practical solutions.

What's next for Green Pulse

Looking ahead, we plan to:

Expand the database to include a wider range of plants and rare diseases for improved detection capabilities.
Introduce real-time monitoring through IoT integration, enabling users to receive proactive alerts on plant health.
Develop community-driven features where users can contribute feedback and data to enhance the AI model.
Roll out multilingual support to reach more users globally and improve accessibility in different regions.

Built With

Submitted to

TigerHacks 2024

Created by

I worked on the front end and backend of the android app.

Aniruddha Biswas
I created the website where I used HTML, CSS and JavaScript to create an interactive website for the user. I also utilized adobe express to create certain features for my website such as the opening sequence, sticker tab and the animated logo on top.

Enyetullah Rahimullah
Slides and Presentation

Presentation Design: I created visually engaging slides that effectively communicated our project’s concept, functionality, and impact. This included designing the layout, curating the content, and incorporating graphics that aligned with our branding.
Pitch Preparation: I worked on structuring the presentation flow to ensure that it highlighted key aspects of our project, making it clear and compelling for the judges and audience.

Git and Version Control

Repository Management: I managed the Git repository to keep our project organized and up to date. This included pushing and merging code, resolving conflicts, and ensuring that all team members had access to the latest version of the code.
Collaboration: I helped maintain clear commit messages and a structured workflow to facilitate smooth collaboration among teammates, ensuring that everyone could contribute efficiently and stay aligned.

Ashik Dey Rupak
I contributed to building the database and developing the algorithm, as well as designing the icons and stickers for the user interface.

Sajid Mohamed