🚀 AI/ML Engineer in Progress | Flutter Developer | Applied Machine Learning Enthusiast
I'm Ayush Tandon, a B.Tech (Mathematics & Computing) student with a strong interest in Artificial Intelligence and Machine Learning and hands-on experience in Flutter application development.
I enjoy building intelligent, data-driven systems and transforming ideas into practical, scalable applications. My focus is on applying machine learning techniques to real-world domains such as finance, healthcare, and prediction systems.
💡 My goal is to design software that combines clean architecture, strong ML foundations, and meaningful impact.
- 🤖 Machine Learning & Deep Learning
- 📊 Applied ML in finance and healthcare
- 🧠 Data preprocessing, feature engineering & model optimization
- 📱 AI/ML integration with Flutter applications
- Python
- Dart / Flutter
- NumPy, Pandas
- Scikit-Learn
- Regression & Classification
- CNNs & Neural Networks
- Model training, evaluation & optimization
- Streamlit
- Firebase
- Git & GitHub
- REST APIs
- SQLite, Hive
- Flutter (Material Design)
- Responsive layouts & animations
- Clean and intuitive UI/UX
An AI-powered financial analysis system focused on intelligent money management and predictive insights.
Key Features:
- ML-based financial prediction and analysis
- Expense and transaction intelligence
- Data preprocessing & feature engineering
- Designed with scalability in mind
A healthcare-focused ML/DL project aimed at assisting early-stage lung cancer detection.
- CNN-based medical image analysis
- Focus on model accuracy and reliability
A machine learning system that predicts property prices using structured datasets.
- Regression-based ML models
- Feature engineering (area, age, location, etc.)
- Interactive Streamlit interface
- 🎲 Dice Rolling App
- ❓ Quiz App
- 🚖 Uber Clone Login UI
- Deep Learning & Neural Networks
- Advanced ML workflows & pipelines
- Model deployment & optimization
- Flutter state management (BLoC, Riverpod)
- AI-powered mobile applications
🔗 GitHub: https://github.com/Droid-DevX