π B.Tech in Computer Science Engineering (2024β2028) π« IIIT Sri City
- π» Interested in Machine Learning, Deep Learning, and Full Stack Development
- π Passionate about building AI-powered applications
- π± Currently learning Deep Learning and Graph Neural Networks
- π Exploring scalable web applications and intelligent systems
- Python
- C++
- SQL
- JavaScript
- Scikit-learn
- TensorFlow / Keras
- Pandas
- NumPy
- Seaborn
- Matplotlib
- HTML
- CSS
- JavaScript
- Tailwind CSS
- React
- Git & GitHub
- Jupyter Notebook
- VS Code
- Linux
- Developed a fraud detection system using graph-based learning
- Analyzed financial transactions using GNN techniques
- Tech Stack: Python, PyTorch Geometric
- π Repo: https://github.com/aishwary-vansh/Fraud-Detection-GNN-
- Built a deep learning model to classify mask vs no-mask images
- Implemented CNN for computer vision classification
- Tech Stack: TensorFlow, OpenCV
- π Repo: https://github.com/aishwary-vansh/Face-Mask-Detection-CNN
- LinkedIn: https://linkedin.com/in/aishwary-vansh
- GitHub: https://github.com/aishwary-vansh
- Email: vanshaishwary08@gmail.com
β Always open to collaboration on Machine Learning, AI, and Full Stack projects.
