Fishers is a website which detects phishing websites using AI/ML.
Methodology: ⮚ User can provide URL they've received to our website to check if it's safe to access. ⮚ URL is converted into vector of features using normalization and vectorization. ⮚ AI/ML Binary classification model will categorizes the website as phishing or legitimate. Tech stack: ⮚ Ensemble learning to combine results from multiple models. ⮚ Classification models: Logistic regression, KNN, Support vector machine, Decision tree, Random forest, Gradient boost, ADA boost. ⮚ Algorithms: Ensemble model using voting classifier. ⮚ Model is deployed into an interactive website created using HTML, CSS, and Javascript.
Website:
Providing the url:
Detection of phishing website: