An AI-based project that detects human emotions by analyzing facial expressions or text inputs. It identifies emotions such as happiness, sadness, anger, and surprise using machine learning techniques. The project aims to understand emotional responses and can be useful in human-computer interaction, mental wellness applications, and customer feedback analysis. Tech used: Python, Artificial Intelligence (AI),
An AI-based financial fraud detection project that analyzes transaction networks to identify suspicious account relationships and potential money-laundering patterns. It helps investigators visualize connections and prioritize suspicious transactions.
Phishing Evidence Analyzer (PhishGuard AI)
An AI-based cybersecurity project designed to identify potential phishing threats by analyzing suspicious links and digital evidence. It helps users recognize possible scams, understand warning signs, and assess phishing risks, supporting safer online activities and improved cyber awareness.
Bachelor of technology
Teegala krishna reddy engineering college
LinkedIn learning and microsoft
Shea Hanson, Head of Learning Content Strategy
Sept 2026Cognitive class
Sept 2026Michele Malejki
Sept 2026Attendee · Oct 24, 2026