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DeepfakeGuard
Description: AI-powered deepfake detection system using Computer Vision and Deep Learning capable of detecting manipulated images and videos.
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The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Six website templates I'd happily hand to a client. Each one comes as plain HTML (unzip, open, online) and as React. None of them make third-party requests, they're accessible by default, and the docs are written for AI tools.
It's also like my portfolio in a way.
Building zero-request clean templates with AI-ready docs is absolute developer witchcraft.
Hi! I’m a college student and an aspiring AI/ML engineer who loves building things with technology and turning ideas into real projects.
I built the Arshi Masale website for a local spice business from Sindhudurg, Maharashtra. This project was special to me because it showed me that even as a student, I can use what I’m learning to create something useful for a real business.
I focused on making it modern, simple, mobile-friendly, and ready for future e-commerce features. This is one of the projects that motivates me to keep learning, building, and eventually turn my passion for AI and technology into a career.
DO SUPPORT GUYS 😊
Another late night. Building a quant trading system an agentic model where different AI agents handle research, testing and risk, and none of them is allowed to place a trade on its own.
The hardest part so far? Being honest when the results say "not yet." Most strategies I've tested failed once real costs were included. That's exactly what testing is for.
Keeping The Psychology of Money and The Diary of a CEO close while I figure it out. What are you reading these days?
Curious how you’ve separated the agents from execution. When you say none can place a trade on its own, is that enforced through a separate execution service with fixed risk checks, human approval or both? I’d love to understand where the agent's decision-making ends and the hard rules take over.
