π B.Tech Artificial Intelligence & Data Science Student at Amrita Vishwa Vidyapeetham
π Iβm currently working on
- Machine Learning applications for engineering and scientific domains
- Research on Thermal Conductivity Prediction of Nanofluids using Machine Learning
- AI, Computer Vision, and IoT-based intelligent systems
- Building research-oriented and deployment-ready AI projects
π― Iβm looking to collaborate on
- Machine Learning and Data Science projects
- Computer Vision applications using OpenCV and MediaPipe
- Scientific Computing and Computational Modelling projects
- Research-oriented AI and Engineering applications
- Open Source AI projects
π€ Iβm looking for help with
- Advanced Machine Learning and Model Optimization
- Scientific Machine Learning
- Research Methodology and Academic Publishing
- Large-Scale AI Systems and Deployment
π± Iβm currently learning
- Advanced Machine Learning
- Computer Vision
- Scientific Computing
- Intelligent Systems
- Research Applications of AI in Engineering
- Data-Driven Modelling Techniques
π¬ Ask me about
- Python, Java, and MATLAB
- Machine Learning & Data Science
- Pandas, NumPy, Scikit-learn
- Computer Vision (OpenCV & MediaPipe)
- Embedded Systems & IoT
- Scientific Computing
- Mathematical Modelling
β‘ Fun Fact
I enjoy combining AI, mathematics, engineering, and research to build practical intelligent systems and solve real-world problems.
Machine learning-powered crop recommendation system built using Python, Scikit-learn, Random Forest, and Streamlit for real-time agricultural decision support.
IoT-based environmental monitoring solution featuring real-time temperature and humidity tracking, automated email alerts, Wi-Fi connectivity, and anomaly detection.
MATLAB-based scientific computing project for simulating quantum particle motion, analyzing wavefunctions, probability densities, and quantized energy states.
Machine-learning-ready dataset containing 987 experimental records compiled from peer-reviewed studies for material informatics and thermal conductivity prediction research.
- Machine Learning
- Scientific Computing
- Computational Modelling
- Material Informatics
- Computer Vision
- Intelligent Systems
- Data-Driven Engineering
- Embedded AI
- Python
- Java
- MATLAB
- Scikit-learn
- Pandas
- NumPy
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- OpenCV
- MediaPipe
- ESP32
- Arduino
- Sensor Interfacing
- Environmental Monitoring Systems
- Git
- GitHub
- Jupyter Notebook
- VS Code
- Streamlit
- Anaconda
- LaTeX
- Overleaf
- IEEE Manuscript Preparation
- Technical Documentation
- BibTeX
- Research Publication in Material Informatics
- Scientific Machine Learning
- Computer Vision Applications
- AI for Engineering Systems
- Building High-Impact Open Source Projects
Always open to learning, collaborating, and contributing to impactful projects.