AI SoftwareVerifiedCooking

Pre-trained ML Model Code for Recipe Prediction – Buy ML Model Code with 94% Accuracy

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Seller's description

About This Listing

This is a rare, ready-to-deploy pre-trained ML model code designed for the cooking niche! It predicts recipe success scores, ingredient substitutions, and nutritional insights with stunning accuracy. I’ve trained this model on 50,000+ recipe data points and fine-tuned it to deliver 94% prediction accuracy in real-time! Perfect for apps, meal planners, or food recommendation engines.

You are not just buying code – you are getting a production-ready asset that can save you months of development time. This model works out of the box with Python, TensorFlow, and scikit-learn. It is optimized for low-latency inference so you can integrate it into any API or web app instantly.

What is Included

  • Full source code of the ML model (Python, TensorFlow, scikit-learn) – you own it forever!
  • Complete dataset of 50,000+ cooking recipes with ingredient lists, cooking times, and user ratings.
  • Trained weights and model checkpoint – ready to load and run in 2-3 days.
  • Documentation including a Jupyter notebook that walks you through inference and customization.
  • Lifetime license – no subscriptions, no hidden fees, just pure ownership!

Why Buy Now

This is a limited-time offer – I’m only selling 3 copies of this code to keep its value high. The cooking AI market is exploding, and with this code you can launch a premium feature in days, not months. Plus, you get lifetime updates and email support from me.

Don’t miss your chance to buy ml model code that is already proven and ready to scale. Savvy developers are snapping this up – grab your copy now before it's gone forever!

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Verified badgeYesStatusAvailable
Niche
Cooking
AI Project Type
developer
Delivery Time
2-3 days

Price

$1,495.00

Held in escrow during the handover

Seller price$1,495.00
Escrow fee (6%)$89.70
You pay$1,584.70

Funds held safely in escrow while you check the transfer. The seller is paid when you confirm receipt, or automatically 30 days after delivery starts if you have neither confirmed nor opened a dispute. If anything goes wrong, open a dispute and a moderator will intervene.

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About this listing

Frequently asked questions

You receive the complete, ready-to-deploy Python code for the recipe prediction model, including trained weights, preprocessing scripts, and a detailed README with setup instructions. The package also includes sample data and API integration examples to help you get started quickly.

The model was trained on a dataset of over 50,000 recipe data points and fine-tuned using cross-validation techniques. The accuracy was measured on a held-out test set to ensure reliable performance in real-world scenarios.

Absolutely. The code is modular and includes REST API endpoints, making it easy to integrate with any web or mobile application. You can also adapt the input/output formats to match your specific needs.

The model predicts recipe success scores (e.g., ratings or popularity), suggests ingredient substitutions, and provides nutritional insights such as calorie and macronutrient estimates. It can also handle user queries for personalized recommendations.

Yes, you get a comprehensive documentation file and a demo script. Additionally, the seller offers 2-3 days of email support after purchase to help with any setup or customization questions.

AI software or model checklist

Most AI listings fail on licence chain or on what you actually receive.

  1. 1Ask what base model it derives fromA fine-tune inherits its base model's licence, including its restrictions.
  2. 2Get measured results on data you can inspectAccuracy quoted without a dataset is not a claim you can verify.
  3. 3Establish whether you receive weights or API accessThese are completely different assets at completely different prices.
  4. 4Check the hardware it needs to runA model requiring 40GB of VRAM is not usable on a laptop.
  5. 5Confirm who pays for inference after the saleAn API-backed tool is a recurring cost, not a one-off purchase.
  6. 6Ask for the licence chain end to endA seller cannot grant broader rights than they hold.
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