Raja Balaji Gandewar

Driven Computer Science student passionate about innovation and problem-solving seeking a challenging role in software development. Eager to continuously enhance skills in technologies like App development and artificial intelligence.

1. Safe water detection (App development, Machine Learning)

This app allows users to track and analyze the quality of water in various sources stating the potability using logistic Regression, XG Boost, and Random Forest.

TechStack:

Flutter, Jupiter Notebook, Firebase, Fast API

https://github.com/rakishraja/Drink-Pure.git

2. Malware detection app (App Development, Machine Learning)

This auto-updatable app allows users to detect any malware application on their phones based on retrieved static and dynamic features of any application using Adaptive Random Forest.

TechStack:

Kotlin, Firebase, Django, MLP, SGD

3. Sangraha360: An Unknown Malware Detection Framework with Federated Learning and Drift Detection

Published in International Journal of Intelligent Systems and Applications in Engineering (IJISAE), 24/03/2024. 

This research paper presents Sangraha360, a novel framework for detecting unknown malware using federated learning and drift detection techniques. The framework aims to enhance malware detection accuracy and adaptability in dynamic environments.

NPTEL:

1. Introduction to Programming in C

2. The Joy of Computing using Python

• Divisional President of the division of NGO StreetCause of KMIT
• Member of the Rotary Club of KMIT
• Project school member in KMIT
• Member of the National Service Scheme unit of KMIT