Mannat Goyal
@mannatgoyal123
Mannat Goyal
@mannatgoyal123
Web developer & CSE student building responsive sites with HTML, CSS, JS & exploring AI/ML. Always learning.
Web developer & CSE student building responsive sites with HTML, CSS, JS & exploring AI/ML. Always learning.
Mansa, India
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Problem Statement 7 – Transform the Future of Rural Commerce Many rural farmers struggle to sell healthy produce due to lack of trust and limited digital access. PlantSense can: 1.Verify quality of crops via AI (trust layer) 2.Give crop health reports as proof for customers 3.Mobile-friendly interfaces and maybe voice input for rural accessibility
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Diagnose Your Plants With AI: Upload a photo of your plant and our machine learning algorithm will analyze its health, identify diseases, and provide care recommendations.
Our Plant Health Analyzer addresses a critical challenge in agriculture—the early detection and diagnosis of plant diseases. Farmers and gardeners often struggle to identify diseases, nutrient deficiencies, or pest infestations, leading to crop losses, reduced yields, and financial setbacks. Traditional methods require expert knowledge and manual inspection, which can be time-consuming and inaccurate. Our AI-powered solution automates this process by analyzing plant images, detecting issues with machine learning models, and providing quick, reliable insights. This helps users take timely action, reducing the risk of crop failure and promoting sustainable farming practices.