🎓 Computer Science Student at SRM University
💻 Software Developer | Machine Learning Enthusiast | Web Developer
📌 Passionate about AI, Cybersecurity, and Full-stack Development
🎯 Currently working on ML Based research papers & CookBook website
- Languages: Python, Java, C++, JavaScript
- Frontend: React.js, HTML, CSS, Tailwind CSS
- Machine Learning: TensorFlow, NumPy, Pandas
- Databases: MySQL
🚀 Published in IEEE: Brain Tumor Detection
🔗 Tech Stack: Python, TensorFlow, VGG16, EfficientNet
📝 Implemented data augmentation to improve classification accuracy (97%) on MRI scans.
📜 NLP-based cyberbullying detection model using SGD, AdaBoost, Random Forest
🔗 Tech Stack: Python, TensorFlow, NLP, Text Vectorization
📈 Achieved 65% accuracy with SGD Classifier for online abuse detection.
💼 Built during SRM Hackathon to manage employee records efficiently
🔗 Tech Stack: React.js, Flask
📌 Allows role-based access and secure CRUD operations.
- Design & Analysis of Algorithms - NPTEL, IIT Madras
- Programming in Java - NPTEL, IIT Kharagpur
- Ethical Hacking Essentials - EC Council, Coursera
- Mathematics for Machine Learning (Linear Algebra) - Imperial College London
💬 Let's collaborate on open-source, AI, and web development projects!
📧 Email: [email protected]
🔗 Portfolio: https://sathwik.codes
⭐ If you like my work, consider giving a star to my repositories!