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Plant Disease Detector App

₹600-1500 INR

Closed
Posted about 2 months ago

₹600-1500 INR

Paid on delivery
I am seeking a skilled developer to build an Android app capable of plant disease detection. The ideal candidate for this project has significant experience with Image Recognition. Key Features: - The app should be able to detect a range of diseases, specifically fungal, bacterial, and viral infections. - Disease detection should be possible using image recognition technology. This is an exciting opportunity for freelancers who have a strong background in app development and a keen understanding of AI image recognition. Your expert knowledge and experience in these areas will be crucial for the successful completion of this project. If you believe you are the right fit for this job, don't hesitate to place a bid.
Project ID: 37833225

About the project

6 proposals
Remote project
Active 11 days ago

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6 freelancers are bidding on average ₹10,400 INR for this job
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Hello I can help you. Please message me so that we can have a detailed discussion. I have 8+ years of combined experience and mastery in Mobile App and web development, and other software development, have expertise in Native on Android Java and IOS Swift, and For Hybrid on Flutter Dart , also for web PHP and its framework CodeIgniter as well as JS frameworks ReactJs and Node.Js. Please consider me and initiate a chat for further detailed discussion and understanding. Regards, Anju Logical Soft Tech Pvt. Ltd., Indore (M.P.)
₹35,000 INR in 14 days
4.9 (34 reviews)
6.5
6.5
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How are you? I have read your job description and understood your proposal. I have rich experiments in Android app and I can help you sufficiently. I have completed many project. For example, it is object detection app. If you send me your project, I will complete your project. Please discuss more details via private chat. Thanks and Regards.
₹25,000 INR in 7 days
4.8 (5 reviews)
3.6
3.6
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Experienced Android Developer with a solid track record of 3 years in crafting exceptional mobile applications. Proficient in Java programming language, with a deep understanding of the Android SDK and adept at integrating third-party libraries and working with various APIs. Demonstrated ability to create seamless user experiences and enhance app functionality through effective integration of APIs and third-party tools. Skilled in UI/UX design, performance optimization, and efficient issue resolution. Enthusiastic about staying updated on industry trends and leveraging emerging technologies to develop impactful and innovative apps.
₹600 INR in 7 days
0.0 (0 reviews)
0.0
0.0
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Project Proposal: Android App for Plant Disease Detection Call on +91 9685099378 Dear Client, Thank you for considering our services for the development of the Android app capable of plant disease detection. We are excited about the opportunity to work on this project and leverage our expertise in image recognition technology. Project Overview: Our goal is to create an Android application that can accurately detect various plant diseases, including fungal, bacterial, and viral infections, using image recognition technology. The app will provide users with a convenient tool to identify and diagnose plant diseases, enabling them to take timely action to address issues in their crops. Key Features: Image Recognition for Disease Detection: Implement image recognition technology to analyze images of plants and identify symptoms of diseases. Develop algorithms capable of distinguishing between fungal, bacterial, and viral infections based on image patterns and characteristics. User-Friendly Interface: Design an intuitive and user-friendly interface that allows users to easily capture and upload images of affected plants.
₹600 INR in 1 day
0.0 (0 reviews)
0.0
0.0
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Having previously developed a project using audio recognition with Tensor Flow for my MCA thesis, I'm confident in my abilities for this image detection application.
₹600 INR in 7 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of INDIA
Bhagalpur, India
5.0
1
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Member since Oct 4, 2022

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