Stake ML Predictor — PoC

A Proof of Concept for predicting Stake.com game outcomes (Mines & Coinflip) using a TensorFlow.js model and provably fair seed pattern analysis.

⚠ Educational Use Only
This does not break cryptography. Results are guesses from pattern recognition and not reliable for gambling. You will likely lose money if used for real betting.

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🚀 Quick Install

Requirements:

• Node.js 18+
• npm

# 1. Clone repo
git clone https://github.com/your-username/stake-predictor-poc.git
cd stake-predictor-poc

# 2. Install dependencies
npm install

🔮 Usage When you run the predictor, it will ask you for seeds via CLI: Client Seed → Get from Stake (Game → Fairness → Copy) Server Seed Hash → Same place as above Nonce → The number of bets you've made with current seed pair (next bet’s nonce)

Example: Mines Prediction

node index.js
Select Game: 1 ( 1 for mines 2 for coinflip )
Enter Client Seed: Your_Active_Client_Seed
Enter Server Seed Hash: Hash_Of_The_Current_Server_Seed
Enter Nonce: 0

[ ✓ ] [ ✓ ] [ X ] [ ✓ ] [ ✓ ]
...
Recommendation: Pick ✓, avoid X

Example: Coinflip Prediction

node index.js

Select Game: 2 ( 1 for mine 2 for coinflip )
Enter Client Seed: Your_Active_Client_Seed
Enter Server Seed Hash: Hash_Of_The_Current_Server_Seed
Enter Nonce: 0

Nonce 0: Heads (82%)
Nonce 1: Heads (71%)
...

Example:

```python-repl
Nonce 0: Heads (82%)
Nonce 1: Heads (71%)

🛠 Tech

• Node.js
• TensorFlow.js
• crypto (HMAC-SHA256)

📌 Contribute Fork → Improve → PR. Ideas:

• Larger training dataset

• Add more games (Limbo, Plinko)

• Better visualizations

• 📜 License MIT — see LICENSE.