Make Your First Open Source Contribution!
✨ Hello There, I am Adithay S K!
I am a Cloud Engineer🚀
I am currently in my 5 semester!
I am Adithya S Kolavi, a highly motivated and versatile technologist based in Bangalore, India. With a passion for innovation and a keen interest in cutting-edge technologies, I have honed my skills in various domains, including web development, machine learning, artificial intelligence, and IoT. My journey in the world of technology has been marked by a relentless pursuit of knowledge and a commitment to pushing the boundaries of what is possible.
Research Intern August 2023 – Present Indian Institute of Science, Bangalore
Generative AI Developer May 2023 – August 2023 Mandelbulb Technologies, Jaipur
Generative AI Research Intern June 2023 – July 2023 Answer Cloud Technologies Pvt Ltd, Mumbai
Full Stack Developer Intern April 2023 – May 2023 Placify, Bangalore
Software Developer Nov 2022 – April 2023 PocketCoach - pcsports.in, Bangalore
Full Stack Developer Intern Sept 2022 – Dec 2022 Enable Upcycling - enableupcycling.com, Bangalore
UI/UX Designer April 2022 – December 2022 Interra, Bangalore
Major Project Intern April 2022 – Present IEEE RAS PES University - Phoneix VTOL Flight test, Bangalore
CompanionLLama
Python, Huggingface, Transformers
Fine-tuned LLama2 language model to create a sentient companion for meaningful conversations.
Customized dataset preparation for training the CompanionLLama model.
Implemented a web-based interface for user interactions and conversations.
Named the companion "Avalon" (Artificial Virtual Assistant with Logical and Operational Navigation).
Story Blocks
Python, Moviepy, OpenAI, Diffusers, Stable Diffusion
Utilized generative AI to transform text into visual narratives.
Combined OpenAI’s text generation model and Stable Diffusion for image synthesis.
Enabled users to create captivating video narratives with vivid visuals.
Supported customization of image style and animation speed for a unique experience.
Diffusechain
Python, Automatic1111, Diffusers
Developed a code-first library to simplify the generation of stable diffusion-based images.
Integrated with Automatic1111 and Diffusers for automated image generation workflows.
Supported prompt optimization, consistent image generation, and storage integration.
Designed for prototyping and experimentation with AI image generation.
Coursurf
NextJS, MongoDB, FastAPI, Selenium, Python
Designed and developed a website that uses Selenium and FastAPI to scrape courses from multiple course providers.
Implemented algorithms and machine learning models to analyze the scraped data and recommend the best courses based on user preferences and ratings.
Integrated a user-friendly interface that allows users to search for courses, filter results, and compare course details.
AIWA
Python, OpenCV, Mediapipe, Keras, TensorFlow
An AI workout assistant developed using OpenCV and Mediapipe.
Helps individuals improve their form and technique during workouts.
Uses computer vision and machine learning to detect and analyze a person’s movements in real-time.
Provides real-time feedback to improve form and technique with visual and audio cues.
Provides users with valuable insights into their performance and improvement.
Attendance System
Python, TensorFlow, Keras, Facial Recognition, Flask
Developed a Flask-based mobile app for student attendance tracking using face detection.
Integrated OpenCV for image processing and used machine learning to improve accuracy.
Implemented a database using Flask-SQLAlchemy to store student information and photos.
Collaborated with a team of developers, using Git and Agile methodologies for project management.
Created a user-friendly interface for teachers to view attendance records.
Shakthi
Arduino, ESP32, Embedded C, Firebase, HTML, CSS, JS
Designed and developed a small and compact device to monitor electrical appliance power consumption and remotely control appliances.
Integrated an app-based interface to view power consumption data and remotely switch appliances on and off.
Utilized wireless connectivity technologies, such as Bluetooth or Wi-Fi, for remote control and data transfer.
Employed sensors to accurately measure and monitor electrical appliance power consumption.
Designed a sleek and user-friendly physical device, with consideration for safety and efficiency.
Agribot
Arduino, Embedded C, Firebase, Think Speak, Raspberry Pi
Designed and developed an agribot equipped with sensors and machine learning capabilities to collect data about plants and soil in a field.
Utilized machine learning algorithms to analyze the data and predict the best plant that can be grown in the field.
Integrated autonomous navigation capabilities into the agribot, allowing it to move around the field and collect data independently.
Developed a user-friendly dashboard to display the data collected by the agribot and provide insights into crop performance and potential yield.
Phoenix
ArduPilot, Arduino, Aero-Modeling
Designed and developed a vertical take-off and landing (VTOL) aircraft with a tri-copter configuration for efficient medicine delivery to rural clinics.
Utilized advanced flight control systems, such as GPS and computer vision, to ensure accurate and safe delivery of medicines.
Successfully demonstrated the VTOL’s capabilities through a series of field tests and prototype iterations.