Aspiring Software Developer passionate about AI & automation.
Building digital experiences that make a difference
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I’ve been an active member of Photocircle RAIT (PCR) for over two years, during which I’ve grown both creatively and technically as a photographer. Being part of this community has allowed me to contribute to a variety of college events, exhibitions, and themed photography projects. I’ve also taken part in organizing workshops and collaborative shoots, which improved my teamwork, event coordination, and communication skills. PCR has not only strengthened my visual storytelling but also given me a platform to express my ideas and connect with like-minded creatives across the campus.
Passionate developer exploring the intersections of AI, machine learning, and web technologies. Active Google Developer community member focused on building innovative solutions that solve real-world problems.
“Comparative Analysis of Psychometric data for assessing mental health testing needs using Machine Learning Models” explores how supervised ML can help decide whether an individual should proceed to a more comprehensive mental health evaluation based on psychometric responses (PHQ-9 and GAD-7).
We benchmark multiple models (Logistic Regression, Random Forest, SVM, XGBoost, and LightGBM) using robust evaluation (including cross-validation) and focus on interpretability by explaining predictions with SHAP. Results highlight that Logistic Regression achieves near-perfect performance while remaining transparent and clinically meaningful for pre-screening workflows.
Things I have worked on
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