I’m an AI researcher and Computer Science undergraduate passionate about building intelligent and creative systems.
My work spans Generative AI, deep learning, and computer vision, with a strong focus on practical AI applications and performance optimization.
- 🎓 B.Tech (CSE) Undergraduate
- 🔭 Exploring Generative AI, Computer Vision & AI Agents
- 🌱 Constantly learning & experimenting with cutting-edge AI/ML
- 🧠 Generative Modeling – GANs, VAEs, Diffusion Models
- 🔥 High-Efficiency Deep Learning – CUDA, PyTorch, performance optimization
- 🖼️ Computer Vision – Handwriting analysis, thermal & visual imaging
- 🎮 Creative AI – Multimodal systems for design, animation, interactivity
- 📄 IEEE – Dysgraphia Detection in Children Using Handwriting Samples
- 📔 AI-Journal – AI diary with speech-to-text, sentiment analysis, mood heatmaps, and privacy-focused wellness insights.
- 🖊️ Dysgraphia-Detection – Web app using React, Flask & TensorFlow to detect dysgraphia from handwriting samples. Achieved 91% accuracy with CNN-BiLSTM.
- 📊 Churn-Risk-Analysis-ML – Customer churn prediction model using ensemble learning (Random Forest, XGBoost, CatBoost) with a Voting Classifier.
- 🎶 Music-generation-with-LLM – End-to-end ML pipeline generating songs from text prompts using LLMs, transformer-based classifiers & RL-driven chord progression.
