I am wrapping up my final-year project on “The Development of a Phishing Detection System with Digital Evidence Archiving and Dashboard Analytics.” The core model is already being trained with neural networks; what I now need is a polished web front-end that lets me demonstrate the work convincingly. Here is what the site must do: • Display real-time phishing detection results coming from my neural-network API. • Provide an interactive dashboard so viewers can explore detection accuracy, incident trends, and model performance metrics. • Store and surface digital evidence (URL, headers, screenshots, timestamps) in an organised repository that can be queried or exported for future forensic use. Look & feel: corporate and professional—clean typography, restrained colour palette, responsive layout that works smoothly on a laptop during the viva. Tech notes: • The back-end endpoint will return JSON; you can consume it with React, Vue, or any modern framework you are comfortable with. • Charts (Chart.js, D3, or similar) are welcome as long as they are lightweight. • Please implement basic user auth so evidence archives are protected. Acceptance criteria: 1. Live demo link and GitHub repo with well-commented code. 2. Clear README explaining how to run locally and how to point to my model’s endpoint. 3. Dashboard shows at least accuracy, precision/recall, and a time-series of detected phishing attempts. 4. Evidence archive allows search by URL or date and export to CSV. 5. UI matches the agreed corporate theme and remains fully responsive. If you can deliver a sleek, reliable showcase that does justice to the neural-network work behind it, I would love to collaborate.