Hardware and Software Projects

An innovative multi-functional four-legged robot built on the Nvidia Jetson Nano platform, designed to serve three critical roles: mobile security sentinel, personal companion, and interactive educational tutor. This project demonstrates the integration of advanced ML, computer vision, and conversational AI on a single mobile platform.

Project Team:

• Adwaith Krishna R
• Agesh K
• Aravind A S
• Devanarayanan K M

Key Features:

• Mobile Security Surveillance: Real-time threat detection using ML-based object detection and anomaly recognition
• Advanced Computer Vision: HD camera integration for continuous environmental scanning and live video streaming
• Autonomous Navigation: Four-legged mobility system with complex kinematics for superior movement
• Conversational AI: Natural language interaction with Speech-to-Text (STT), NLP, and Text-to-Speech (TTS)
• Educational Tutor Mode: Interactive learning sessions with domain-specific knowledge (science, history, etc.)
• Active Threat Response: Verbal warnings, target tracking, and real-time alerts to users

Technical Implementation:

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Designed and developed the official website for the IEEE Communications Society (ComSoc) Student Branch Chapter at NSS College of Engineering. The site serves as a central hub for student members, researchers, and industry leaders to find information on events, achievements, and team members.

Key Features:

• Responsive design for mobile and desktop
• Sections for Mission, Achievements, Events, and Team
• Integrated "Join Us" and contact functionalities
• Deployed on Netlify for fast, global access

Technologies Used:

A custom-designed rover equipped with a conveyor belt for river waste collection and a 2-DOF robotic arm for object pick-and-place operations. The system integrates ultrasonic sensors for obstacle detection and wireless control for remote operation.

Key Features:

• Conveyor belt mechanism for continuous waste collection
• 2-DOF robotic arm with precise object manipulation
• Ultrasonic sensors for obstacle detection and avoidance
• Wireless control via custom remote interface

Technologies Used:

An innovative robotic arm control system that uses computer vision and hand gesture recognition to enable intuitive human-robot interaction. The system tracks hand movements in real-time and translates them into precise robotic arm movements.

Key Features:

• Real-time hand gesture recognition
• Six degrees of freedom for complex movements
• OpenCV-based computer vision processing
• Arduino-based robotic arm control
• Seamless gesture-to-movement translation

Technical Implementation:

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This project automates a traditional Indian 'vilakku' (lamp) using an Arduino microcontroller and a custom Android app. Developed for the IEEE CS Society SB NSSCE's 'Encrypta' coding competition, it allows the lamp to be controlled remotely via Bluetooth. As a member of the technical team, I designed and implemented the hardware and software components of this unique home automation system.

Key Features:

• Arduino-based control system for reliable operation
• Bluetooth connectivity for wireless remote control
• Custom Android app built with MIT App Inventor
• Relay module for safe and effective power switching

Technical Implementation:

Technologies Used:

A high-reliability Battery Management System (BMS) designed for the Electrical Power System (EPS) of a CubeSat. This project integrates the Texas Instruments BQ76920 Analog Front End with an ATmega32U4 microcontroller to ensure the safety and longevity of Li-Ion battery packs in a space environment.

Key Features:

• Space-Grade Protection: Over-charge, Over-discharge, and Short-circuit protection via BQ76920.
• Configurable Topology: Unique PCB design supporting both High-Side (P-FET) and Low-Side (N-FET) switching paths.
• Active Cell Balancing: Ensures uniform voltage across cells during charging.
• I2C Communication: ATmega32U4 reads telemetry (Voltage, Current, Temp) and manages safety overrides.

Technical Implementation:

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This project marks my entry into professional Computer-Aided Design (CAD) using Autodesk Fusion 360. I designed a multi-component mechanical assembly consisting of a base plate, an L-bracket, and custom fasteners.

The project involved the entire design lifecycle: creating 2D sketches with parametric constraints, extruding 3D bodies, applying chamfers/fillets, and defining rigid joints for the final assembly.

Key Skills Demonstrated:

• Parametric Sketching: Defined dimensions for the 90x90mm Base and Bracket.
• 3D Modeling: Created custom 15mm fasteners with hex sockets.
• Assembly Joints: Aligned and assembled components virtually.
• Technical Documentation: Generated engineering drawings with precise dimensioning.

Technologies Used:

A comprehensive disaster management application designed to provide real-time emergency information and tools. The app includes features for disaster preparedness, real-time alerts, and emergency response coordination.

Key Features:

• Real-time disaster alerts and news
• Geographical vulnerability prediction
• Offline emergency resources
• SOS functionality with location sharing
• Smartwatch integration

Technologies Used:

This innovative project implements the iconic Death Note anime background music using Verilog HDL on an FPGA board, demonstrating advanced digital design and sound synthesis techniques.

Key Features:

• Pure hardware implementation using Verilog HDL
• Accurate reproduction of Death Note BGM theme
• Custom waveform generation and mixing
• Precise timing control for note durations
• Adjustable tempo and volume control

Technical Implementation:

Technologies Used:

Designed and implemented a custom video card using logic circuits and EEPROM memory to store and display images on a VGA monitor, demonstrating fundamental digital design principles.

Key Features:

• EEPROM-based image storage (32KB capacity)
• VGA output at 640x480 resolution
• Custom timing circuit for VGA synchronization
• Discrete logic implementation (no microcontroller)
• 8-color display capability

Technical Implementation:

Technologies Used:

An agile quadruped robot inspired by spider locomotion, featuring 8 degrees of freedom and controlled by an Arduino Nano. This project demonstrates advanced servo control and biomimetic movement patterns.

Key Features:

• Biomimetic four-legged design
• Arduino Nano control system
• 24 servo motors for precise movement
• Multiple gait patterns (walk, turn, wave)
• Wireless control via Bluetooth module

Technical Implementation:

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