Inspiration: Our inspiration lies in supporting farmers by addressing their uncertainties and providing personalized assistance.
What it Does: Our solution aims to alleviate farmers' doubts by guiding them through personalized processes. Using the Gemini API from Google, we've developed a system that can detect diseases in crops through images uploaded by farmers.
How We Built It: We utilized the Gemini API to create a platform where farmers can upload images of their crops. Through this API, our system can identify any diseases present. This platform is built to streamline the process and offer tailored guidance to farmers.
Challenges We Ran Into: One of the significant challenges we faced was integrating the Gemini API seamlessly into our platform. Additionally, ensuring accuracy in disease detection posed its own set of hurdles.
Accomplishments We're Proud Of: We're proud to have developed a system that not only speeds up processes for farmers but also fosters interaction with other stakeholders in the agricultural community. This achievement signifies a step forward in leveraging technology to support the agricultural sector.
What We Learned: Through this project, we gained valuable experience in building APIs and training machine learning models. Furthermore, we deepened our understanding of the challenges farmers face, helping us develop a more empathetic perspective towards their needs.
What's Next for Untitled: Our next step is to launch the project live and observe its impact firsthand. We plan to continuously refine and improve the system based on feedback from farmers and other users. Additionally, we aim to expand its capabilities to address a broader range of agricultural challenges.
Built With
- api
- cloud
- css
- html
- javascript
- python
- react
- streamlit
