Siddhant Gour

GitHub powers our development workflow by enabling seamless collaboration, CI/CD integration, open-source contributions, and version tracking—ensuring faster, more reliable releases of Truelink.

We leverage Kaggle’s vast datasets and competitions to train and validate AI models for URL classification, phishing detection, and behavioral analysis, ensuring Truelink stays ahead of emerging threats.

We use Qdrant to store and search high-dimensional vector embeddings of malicious patterns, phishing URLs, and threat indicators. This empowers Truelink to compare new threats against known vectors instantly using semantic AI.

We leverage Hugging Face’s pre-trained NLP models to analyze suspicious URLs and content. This enables Truelink to detect phishing, malware, and scam patterns in real-time using advanced AI language understanding.

Figma powers our design process—from wireframes to high-fidelity prototypes. It enables real-time collaboration between designers, developers, and stakeholders, ensuring TrueLink delivers a clean, intuitive, and secure user experience.

Provides edge protection, anti-DDoS, and DNS-level filtering to enhance app security and uptime.

Enables scalable microservices for traffic inspection, AI modules, and update handling.

Powers the AI workflows to analyze web content, detect phishing, and contextual threats intelligently.

Used for ultra-fast caching of domain threat checks and session tokens, ensuring real-time protection.