Hi there
My name is Kiriti Nain, I'm a tech innovator specializing in robotics, and AI, with expertise in machine learning platforms and ROS technologies. As a robotics enthusiast and A.T.O.M Robotics Lab member, I create innovative solutions bridging software, hardware, and educational technologies. My passion lies in sustainable development.
In addition to my love of technology and design, I am also a keen reader and my favourite author is John Green.
Below are details of some of the projects.
Projects
MR Robot 2.0
2024-Present
- Ros 2
- SLAM
- Navigation Stack
- RViz
- Python
- Raspberry Pi
- IMU
- Ydlidar
MR ROBOT 2.0 is an autonomous navigation robot capable of performing various day-to-day operations, with a modular design that allows for customization to perform other tasks as well. - Integrating Raspberry Pi and LiDAR components to facilitate autonomous mobile robot (AMR) functionality, performed mapping and autonomous navigation, as well as developed code for different drive modes to enable teleoperation.
Aruco Navigation Project
March-September 2024
- ROS 2
- Python
- OpenCV
- Gazebo
- Blender
- Docker
Aruco Marker Development: Created 3D Aruco markers using Blender, designed to enhance robotic navigation and environment interaction within a simulated world. - Simulation Environment: Developed a dynamic environment in Gazebo, spawning Aruco markers and a mobile robot to facilitate testing and visualization of robotic behaviors. - Custom Scripting and Interfaces: Wrote scripts for Aruco detection and bot control, and implemented custom interfaces to streamline interaction between the robot and the simulation environment and deployed it on Docker.
Fintoolekt
June 2024
- ML
- Tensorflow
- Decison Tree
- Random Forest
Web Application Development: Collaborated on building a robust web platform designed for fraud detection and auditing of large datasets, enhancing data integrity and security. - Machine Learning Implementation: Developed and implemented machine learning models, utilizing algorithms such as Decision Trees and Random Forests to effectively identify fraudulent activities and patterns within the data.
CropDoc
April 2024
- CNN
- PyTorch
- Tensorflow
- Python
- OpenCV
- ESP-32
Build a diseases detection model for crop leaves that can be used by farmers in agriculture fields to prevent crop damage. - I worked on training ML model through transfer learning on our own dataset, so the model can take up real time dataset through computer vision. - Also worked on ESP-32 for making a moisture-detection sensor for better irrigation conditions in fields.
ZenZone
May 2024
- HTML
- CSS
- JavaScript
- Unity
- Python
- Tensorflow
Website Development: Developed an interactive website, ZenZone, aimed at addressing mental health issues through innovative virtual solutions and resources. - VR Psychiatrist Room Creation: Designed a virtual reality psychiatrist room in Blender, providing an immersive environment for users to engage in virtual therapy sessions and enhance their mental wellness. - Integrated Chatbot and VR Experiences: Implemented a voice-to-text chatbot for seamless virtual therapy interactions, alongside creating a rage room for stress relief and a calming VR environment for meditation, promoting holistic mental health support.
Achievements
Empowher Hackathon at IIIT Delhi - 1st Position
she-ksha
October 2023
- Blender
- Unity
- LLM
Won this Hackathon with the project "She-ksha". - Build a website that consisted of AR-VR classroom, Multilingual Chatbot and community support to improve better learning experience for rural women due to absence of good infrastructure. - I worked on creating models through blender for virtual classrooms, and making models of human characters. - Created a multilingual chatbot for community support.
ML Code Crunch Hackathon at DTU - 3rd Position
SereneHub
February 2024
- LLM Model
- ML
- Google Cloud Speech API
- OpenCV
Won this Hackathon with the project "SereneHub" - Build a project for mental health that consisted of Ml model for detecting emotions and reading facial expressions and suggesting a youtube video or song to lighten up the mood. - I worked on training the ML for facial detection and speech to text deciphering.
