I'm a musician, software developer, AI enthusiast, and lifelong learner, passionate about tackling complex problems with both innovative and time-tested techniques. I thrive on solving challenges and continuously pushing my boundaries. Currently, I'm working on an exciting Behavior Tree Generation research project - check the details below π.
This project is in collaboration with Lockheed Martin where the goal is to shorten the amount of time it takes to generate behavior trees for the simulation of different military scenarios. This includes the usage of CodeLlama to generate behavior trees so developers can use it as template to integrate them into their workflow.
Tech Stack:
- Frontend: React, TypeScript
- Language: Javascript, Python, C++
- Backend: Flask
- Database: Pinecone
- Other Tools: bash
Key Features:
- Uses CodeLlama LORA Adapter for behavior Tree Generation
- Uses RAG from Pinecone database to provide context to prompt
- Interactive UI that displays the generated Behvaior Tree
- Utilizes multiple node types that are used in Behvaior Tree generation for military scenarios
I've seen many implmenetation of different scheduler algorithms, but I wanted to take it to the next level, which resulted in the development of a full stack application for this project.
Tech Stack:
- Frontend: React.js
- Languages: Javascript, Python, HTML, CSS
- Styling: TailwindCSS
- Backend: Flask
Key Learnings:
- Has implementation of 3 scheduler algorithms including FIFO, SJF, and Round Robin
- Has an interactive frontend where you can download the reuslts for each output
- Has error handling and can tune the parameters for each type of algorithm
This website is for a client that specializes in the warehousing business. They are focused on 3PL solutions and need a company website. There is currently no backend yet.
Deployment Link: Visit the Website
Tech Stack:
- Language: Javascript, TypeScript
- Framework: NextJS
Highlights:
- Utilizes NextJS for flawless animations and interactiveness
- Landing page is made appealing
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- Unity
- VR Development
- Networking
- Model Finetuning
βοΈ From Abhinav-Kotta