Repair Leaf Disease Detection API

₹1500-12500 INR

Closed

Posted about 2 months ago

₹1500-12500 INR

Paid on delivery

Hi, Fix my existing Leaf Disease Detection FastAPI project. Problem: Project is breaking due to environment/dependency issues: ModuleNotFoundError: [login to view URL] TensorFlow fails to load ([login to view URL]) NumPy 2.x incompatibility with TensorFlow _ARRAY_API not found error Uvicorn crashes while importing [login to view URL] Project Details: Backend: FastAPI Model: TensorFlow (Keras) Files: [login to view URL] (API) [login to view URL] (model loading + prediction) dataset/model/ ([login to view URL], [login to view URL], [login to view URL]) dataset/PlantVillage/ (class folders) Requirements: Create a clean working Python environment Fix all dependency issues: TensorFlow compatibility NumPy version compatibility (<2) Keras / model loading issues Ensure model loads correctly using: [login to view URL] [login to view URL] Fix API endpoint: /disease-detection-file should accept image upload and return prediction Ensure project runs with: uvicorn app:app --reload CPU-only setup is fine (no GPU required) Expected Output: { "disease_detected": true, "disease_name": "Tomato___Early_blight", "confidence": 92.5 } Note: Do not change model architecture unless absolutely necessary. Focus on fixing environment + compatibility so project runs successfully.

Software Architecture

PHP

C++ Programming

Project ID: 40397258

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Active 30 days ago

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11 freelancers are bidding on average ₹6,489 INR for this job

@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,

₹11,000 INR in 1 day

4.9

(135 reviews)

6.8

@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

₹7,000 INR in 5 days

0.0

(0 reviews)

0.0

@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.

₹6,300 INR in 1 day