About
B.Tech student in Artificial Intelligence & Machine Learning with a focus on computer vision, generative AI, and deep learning. Builds and deploys ML applications using PyTorch, TensorFlow, OpenCV, Flask, and Streamlit.
Education
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B.Tech in Artificial Intelligence & Machine LearningArtificial Intelligence and Machine Learning · Oct 2023 – Jul 2027
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Higher SecondaryCBSE Board2023
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SecondaryCBSE Board2021
Skills
Tools / apps / platforms
Projects
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Sentiment & Emotion Analysis EngineNLP, Scikit-Learn, TF-IDF
Dual-task text classification system for sentiment and emotion analysis. Built an NLP pipeline with TF-IDF and N-gram support and trained logistic regression models for sentiment and emotion prediction.
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Acne Analysis & Dermatology AssistantTensorFlow, EfficientNetB0
Deep learning diagnostic tool for skin condition classification. Fine-tuned EfficientNetB0 to classify facial images into 5 skin conditions, handled dataset imbalance with augmentation and class weighting, and deployed a Streamlit app for skincare recommendations.
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Super-Doctor AI: Autonomous Radiology WorkstationPyTorch, RL (PPO), Flask, Llama 3
Multi-agent system using reinforcement learning to autonomously fix X-rays before diagnosis. Includes a PPO agent for dynamic image enhancement, a fine-tuned Faster R-CNN for thoracic abnormality detection, Llama 3 report generation, and a Flask app with action replay and automated PDF reporting.
Courses & certifications
- certificate · intel and unnati · 2026