Advanced SDSS stellar classification — multi-class RF/SVM on photometric bands + redshift. >97% accuracy with colour-magnitude diagrams and per-class confidence output.
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Updated
Mar 15, 2026 - Python
Advanced SDSS stellar classification — multi-class RF/SVM on photometric bands + redshift. >97% accuracy with colour-magnitude diagrams and per-class confidence output.
Whispers of the Void is a SETI-inspired machine learning pipeline for radio signal classification, designed to distinguish terrestrial Radio Frequency Interference (RFI) from candidate technosignatures.
AI quiz and adaptive assessment platform — LLM-generated MCQ/T-F/short-answer questions from any document, Bloom taxonomy tagging, spaced repetition scheduling, and Anki APKG deck export.
Galaxy morphology classifier using fine-tuned ResNet-18 on Galaxy Zoo photometric images — 5-class output (Elliptical/Spiral/Edge-on/Merger) with Grad-CAM activation maps.
Photometric stellar object classifier distinguishing Stars, Galaxies and Quasars from SDSS u/g/r/i/z magnitudes and redshift. Includes PCA feature projection and CMD plots.
Cosmic Craftathon is an exhilarating, fast-paced 2D space exploration game where you pilot a spaceship through a dynamic and dangerous universe.
🔭 Gemini-powered AI app to classify extraterrestrial radio signals and extract deep insights from spectral metadata. Built for SETI-inspired anomaly analysis.
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