AI Farming Web Voice Assistant
Краткое
Freelancer Client is hiring: AI Farming Web Voice Assistant.
Location: Remote
I need a fully-functional web application that acts as an AI voice assistant for farmers. The core job is to make disease detection effortless: a user should be able to describe plant symptoms (or speak them) and immediately receive an accurate diagnosis, possible causes and treatment steps.
Beyond that primary task, I would like the same interface to offer crop recommendations and general farming advice so the system feels like a single, knowledgeable companion rather than three separate tools. The web app must accept both voice and typed questions, switching smoothly between the two without page reloads.
Under the hood you are free to combine the machine-learning and deep-learning frameworks you prefer—TensorFlow, PyTorch, scikit-learn, FastAPI, Flask, or any stack you are comfortable deploying—but the models need to be trained (or fine-tuned) on reliable agricultural datasets so farmers can trust the answers. Real-time speech-to-text and text-to-speech are essential for a hands-free experience, and I expect a clean, responsive UI that runs in a modern browser on desktop or mobile.
Deployed web application (HTTPS) with voice & text input
Disease-detection model integrated and tested
Skills: Data Science, Web Development, Frontend Development, Flask, Deep Learning, Web Application, FastAPI, Natural Language Processing
Budget: $12500–$37500 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Оригинал
I need a fully-functional web application that acts as an AI voice assistant for farmers. The core job is to make disease detection effortless: a user should be able to describe plant symptoms (or speak them) and immediately receive an accurate diagnosis, possible causes and treatment steps.
Beyond that primary task, I would like the same interface to offer crop recommendations and general farming advice so the system feels like a single, knowledgeable companion rather than three separate tools. The web app must accept both voice and typed questions, switching smoothly between the two without page reloads.
Under the hood you are free to combine the machine-learning and deep-learning frameworks you prefer—TensorFlow, PyTorch, scikit-learn, FastAPI, Flask, or any stack you are comfortable deploying—but the models need to be trained (or fine-tuned) on reliable agricultural datasets so farmers can trust the answers. Real-time speech-to-text and text-to-speech are essential for a hands-free experience, and I expect a clean, responsive UI that runs in a modern browser on desktop or mobile.
Deliverables
• Deployed web application (HTTPS) with voice & text input
• Disease-detection model integrated and tested
• Secondary modules for crop recommendation and farming advice
• Simple admin or README guiding dataset updates, model retraining and future feature additions
Acceptance criteria
• Disease-diagnosis accuracy demonstrably higher than a baseline (I will supply sample cases)
• Response time <3 s for typical queries on standard hosting
• Voice recognition and synthesis work in Chrome, Edge and Safari without plugins
If you have previous work in agri-tech or conversational AI, feel free to share a demo link when you bid.
Локация & Details
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