Name: SHAMSUNDAR SM
Type: User
Bio: I'm a passionate individual with a keen interest in pursuing a role as a Software Development Engineer. My strengths lie in solving complex problems
Location: Karaikal,Puducherry,India
SHAMSUNDAR SM's Projects
Automate attendance with our deep learning system—facial recognition, real-time updates, and robust security. Streamline tracking in educational and workplace settings, ensuring accuracy. Revolutionize attendance with user-friendly interface and insightful analytics. #AttendanceAutomation #DeepLearning 🚀
Creating a driver drowsiness detection project using the Haar -Cascade algorithm can be a valuable contribution to the open-source community
This Python project provides a basic implementation for encrypting and decrypting data. It uses a chosen encryption algorithm to secure sensitive information, offering a simple and straightforward tool for developers and users who need to protect their data.
This project aims to implement face identification using deep learning techniques. The model is trained to recognize and identify faces in images, making it suitable for applications such as facial recognition systems, security systems, and more.
Problem Solving In SDE Questions in GeekforGeeks
SDE HARDEST PROBLEMS SOLVED
Fetching Information and Storing data into to Database
Solved Problems in Leetcode and Other Platforms Using C Program
Leetcode Hardest Problems Solved Using C# Program
Medium and Hard Problems solved Using Rust
Java SDE Problems
Transform surveillance with Smart CCTV using Deep Learning. Enhance security through real-time object detection, facial recognition, and anomaly detection. Stay vigilant with automated alerts and advanced analytics. Revolutionize safety with cutting-edge technology. #SmartCCTV #DeepLearning 📷🤖
Hackathon submission
Mitigate uncertainty in digital evidence chain of custody with blockchain technology. Ensure the integrity and trustworthiness of forensic investigations by leveraging the secure and decentralized nature of blockchain. Preserve the provenance and authenticity of digital images throughout the investigative process.