Baby AI – Personal AI Assistant
Built a multifunctional AI assistant with mood detection, idea generation, virtual mentoring, language translation, continuous wake word detection, emotion sensing, and camera vision capabilities.
A balanced, well-rounded option that works for most tech roles.
Adaptive AI Developer and Software Engineer skilled in leveraging Python, NLP, and Transformer models to build intelligent applications. Driven by computational problem-solving and backed by foundational experience in robotics and space tech, with a proven ability to translate abstract ideas into scalable, functional software.
Built a multifunctional AI assistant with mood detection, idea generation, virtual mentoring, language translation, continuous wake word detection, emotion sensing, and camera vision capabilities.
Developed an ML-based recommendation system using Kaggle datasets. Applied data preprocessing, feature scaling, and model evaluation for improved accuracy.
Hosted multiple AI-driven applications: AntispamKit, IPLWinProKit, LaptopriKit, OlympiKit.
Designed and trained a Transformers-based NLP model with overfitting mitigation strategies. Explored feature scaling and text processing techniques for robust AI outputs.
This project predicts whether two Quora questions ask the same thing (duplicate detection). I experimented with feature engineering and model choices to handle real-world duplicate patterns and repeated questions at scale.
Completed Class 12 in the science stream. I'm curious about quantum computing, machine learning, and space technology — currently learning through online courses and hands-on projects (introductory ML models and basic robotics experiments).
Strong interest in AI, Space Tech, Robotics, and Astrobiology. Actively building AI projects to automate tasks and solve complex real-world problems. Ambition: Lead innovations at the intersection of AI, Biotechnology, and Space Exploration.