Tenshi
A Java-based AI assistant exploring intelligent interaction and voice-enabled functionality.
AI & Data Science | Developer | Creative Builder
AI & Data Science student building intelligent software, AI assistants, automation systems and experimental technology.
I’m an AI & Data Science student who enjoys turning ideas into working technology. From intelligent assistants and computer vision to IoT and robotics, I like experimenting at the intersection of software, AI and hardware.
My philosophy is grounded in creating practical, intelligent systems: voice assistants that operate entirely on-device, autonomous robotics that clean dangerous underground environments before a person has to, and drone computer vision algorithms that analyze crop health from the sky.
Local LLMs & Ollama, edge computer vision, autonomous embedded systems (ESP32/Arduino), Full-Stack development with Python, Flask, Node.js & modern web interfaces.
Curated tools, frameworks, and technologies I reach for to engineer intelligent software, AI pipelines, and connected hardware.
An intelligent personal AI assistant designed around local AI, voice interaction and a futuristic anime-inspired interface.
Intelligent software, assistants, autonomous robotics, and experimental human-computer interfaces designed to solve real problems.
A Java-based AI assistant exploring intelligent interaction and voice-enabled functionality.
A smart robotic system concept designed for automated manhole cleaning and infrastructure maintenance.
An AI-powered agricultural monitoring concept combining drone imagery, computer vision and data-driven analysis.
An experimental gesture-based air mouse project combining hardware sensing and software interaction.
A continuous progression from core coding fundamentals to autonomous robotics and local AI models.
Learning programming fundamentals and software development with Python and Java — syntax, core logic, algorithms, and first automation scripts.
Exploring machine learning, data science, statistical analysis, and deep learning architectures at Sree Rama Engineering College.
Building AI assistants, LLM applications, and automation systems — creating Kiyosh and Tenshi with local Ollama runtimes and zero-cloud voice pipelines.
Exploring ESP32, microcontrollers, ultrasonic/gas sensors, robotics, and connected systems with INFRABOT and KrishiDrishti agricultural monitoring.
Combining AI, software and hardware into larger ideas — developing the NIDAR AirMouse touchless interface with Team ATARASHII.
Documented milestones across competitions, AI innovation, and experimental technical builds.
AirMouse spatial gesture computing project with Team ATARASHII.
Engineered a working dual-sensor robotic cleaner for hazardous drainage channels with remote camera telemetry.
Architected Kiyosh, an end-to-end voice-driven assistant powered by on-device LLMs via Ollama with zero cloud API costs.
Let's turn it into something real. Drop a message to connect about projects, technical discussions, or collaborations.