PRAJWAL MHATRE

Thesis: Comparative Analysis of Cellular Computational Networks and Current Neural Networks
Ongoing

• Investigating CCNs as a novel alternative to traditional neural networks.
• Developing customized distributed neural networks from scratch.
• Conducting detailed comparisons of power consumption between CCNs and current neural networks.
• Utilizing CUDA and PyTorch for implementing and optimizing both CCNs and neural networks.
• Assessing computational capabilities, scalability, and practical applications of CCNs.
• Analyzing key performance indicators to establish the viability of CCNs in real-world scenarios.

IOT Based Fire Fighting Robot
RAIT | August 2021 - May 2022

• Developed a robot capable of detecting and extinguishing different types of fires.
• Controlled the robot via an Android application.
• Enhanced safety by reducing the risk for firefighters.

IOT Based Plant Monitoring System
RAIT | January 2020 - May 2020

• Created an automated plant watering system for remote plant care.
• Integrated moisture detection for water management.
• Controlled and monitored the system through an online application.

Linux Device Driver for Sound Blaster 16 Audio Card
March 2023 - May 2023

• Developed a Linux kernel module for advanced audio processing.
• Implemented custom file operations and interfaced with audio hardware.
• Configured DMA for efficient sound data transfer and playback.

Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN
October 2023 - December 2023

• Analyzed LoRa signals to extract unique RF fingerprints.
• Employed spectrograms and FFT for signal preprocessing.
• Utilized CNNs for accurate device identification.
• Implemented CFO compensation to mitigate signal drift issues.

Certified Course on Android Application Development
January 2019 - August 2019

• Technologies Used: Java, Android Studio, XML
• Key Skills: Implemented multithreading, asynchronous programming, complex UI development, RESTful APIs, and Firebase integration.