
16
2
Pakistan
2+ years of experience
I build AI shaped by human psychology, projects that blend emotions, thought and technology to create tools that truly connect with people. My goal is to make AI not just intelligent, but empathetic, adaptive and meaningful. I build because I believe AI should do more than generate answers; it should understand, adapt and respond to us as people. From mental health companions to emotionally aware prompt systems, my projects explore how AI can be made empathetic, private and meaningful in everyday life. For me, each project is an experiment in bridging science and creativity using AI not just to solve problems, but to care, connect and empower.

Phishing attacks have become increasingly sophisticated, exploiting human vulnerabilities to steal sensitive information, financial assets, and disrupt organizational operations. Traditional security measures often fall short in detecting these nuanced threats, leading to substantial financial and reputational damages. PhishSecure AI is an innovative solution designed to combat the ever-growing threat of phishing attacks, which continue to pose significant risks to individuals and organizations worldwide. By harnessing the power of advanced machine learning techniques, PhishSecure AI accurately detects and mitigates phishing attempts in real-time, ensuring a secure online environment for users.
11 Oct 2024

An application that leverages neural networks to predict the likelihood of heart disease in users based on their health data. Features User Input: Users can input personal health metrics such as age, gender, blood pressure, cholesterol levels, and other relevant medical history. Neural Network Model: Implement a pre-trained neural network model that processes the input data to predict heart disease risk. The model can be based on existing datasets and algorithms from sources like Kaggle. Real-Time Feedback: Provide users with immediate feedback on their health status, including risk assessment and suggestions for lifestyle changes. Data Visualization: Include graphs and charts to help users understand their health metrics and the prediction results. Educational Resources: Offer information on heart disease, prevention strategies, and when to seek medical advice.
26 Aug 2024