AI/ML Engineering Student | 4th Year
Intrigued by the intersection of human behavior and machine learning & building intelligent systems with Advanced AI & ML. Exploring Deep Learning, Computer Vision, NLP, Speech Emotion Recognition, and Generative AI to make technology smarter and more human.
- AI-powered Emotion Recognition from Speech & Face
- Real-time Drowsiness Detection System
- Advanced projects in Generative AI & Reinforcement Learning
- Portfolio: https://github.com/shreyamb
✨ Explore my interactive AI apps hosted on Streamlit & GitHub ✨
🎯 Kawaii Ai Therapist Chatbot
Detects emotion and responds like a mental wellness buddy.
🔊 🎤 Speech Emotion Recognizer
Identifies emotion from voice input for audio-based mood analysis.
More coming soon... Stay tuned! 🌸
When I’m not diving deep into AI and machine learning, I love exploring creative and relaxing activities that fuel my passion and keep me balanced.
I believe that artificial intelligence should feel natural —
"Engineering AI with empathy, elegance, and edge."
"Designing intuitive, emotional, and ethical AI."
"Making machines think, feel, and respond — one model at a time."
"Shaping soft, smart AI for a softer, smarter world.
^_^
That's the kind of AI I'm here to build.
| Domain | Tools / Libraries |
|---|---|
| Deep Learning | PyTorch, TensorFlow, Keras |
| Computer Vision | OpenCV, MediaPipe |
| NLP | NLTK, SpaCy, Transformers (HuggingFace) |
| Audio Processing | SpeechBrain, librosa |
| Deployment & UI | Streamlit, Flask, Git, Docker |
| Experiments / Demos | Google Colab, Jupyter, VS Code |
- Real-time Face Shape & Makeup Suggestion App
- Drowsiness Detection with MediaPipe
- Voice Emotion Recognition using Deep Learning
- Currently exploring: Generative AI, Audio-Visual AI, RAG & LLM integration
- Goal: Build AI that feels intuitive, human-friendly & ethical