Repair Leaf Disease Detection API

@mohjib092

hi there, will do it fast with the right direction , can you please come to the chat box so we can easily discuss in details,

@mihajlodjokic

Let me get it done, I'll resolve the environment and dependency conflicts within your Leaf Disease Detection FastAPI project, ensuring TensorFlow, NumPy, and Keras compatibility. Your project will be finished in 3-5 days, I have experience with similar deployments. Here is how I would approach it: 1. I’ll create a clean Python environment using virtualenv. 2. I’ll meticulously address TensorFlow compatibility issues and NumPy version conflicts. 3. I’ll resolve Keras/model loading errors using the provided configuration files. 4. I’ll debug and fix the Uvicorn import error in utils.py. 5. I’ll verify the API endpoint functionality for image upload and prediction. I can do a free demo if needed. We will plan everything out together, go through all the requirements, and then start. Let's talk as soon as possible and get it done. Best Regards, Mihajlo

@lucasgraggster

I read your post on "Repair Leaf Disease Detection API" -- happy to take this on. Recent relevant work: - Built a multi-API integration layer with retries and rate-limit handling. - Built a real-time Flask dashboard with live data feeds. - Built an AI workflow using OpenAI/Groq with token cost optimization. My approach: I'd start by clarifying the exact deliverable and edge cases, then ship a working version with logging/error handling. You'll get clean code, docs, and direct support after delivery. Estimated timeline: 1 week. Bid: $6300.0 (fixed). Available to start today -- just send a message to confirm.