Web App for Credit Card Fraud Detection
Budget: $10 – $30 USD
I'm looking for a web-based application that demonstrates how Logistic Regression and RandomForest can be used to detect credit card fraud.
Key Features:
- Simple Form Input: The user interface should be straightforward, with a focus on ease of use.
- Transaction Details Input: The form should allow users to input transaction details for fraud detection.
- Results Display: The application should flag transactions as 'fraud' or 'not fraud'.
Ideal Skills and Experience:
- Proficient in web development with experience in building interactive applications.
- Knowledgeable in machine learning, specifically Logistic Regression and RandomForest.
- Previous experience in creating fraud detection systems would be a plus.
Key Features:
- Simple Form Input: The user interface should be straightforward, with a focus on ease of use.
- Transaction Details Input: The form should allow users to input transaction details for fraud detection.
- Results Display: The application should flag transactions as 'fraud' or 'not fraud'.
Ideal Skills and Experience:
- Proficient in web development with experience in building interactive applications.
- Knowledgeable in machine learning, specifically Logistic Regression and RandomForest.
- Previous experience in creating fraud detection systems would be a plus.