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Owen's Projects

autogen icon autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

awesome-llm4ad icon awesome-llm4ad

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

car-damage-analysis-app icon car-damage-analysis-app

Assessing external car damage, i.e., severity and location using Deep Learning and deploy it using flask and tensorflow serving.

car-damage-detective icon car-damage-detective

Assessing car damage with convolution neural networks for a personal auto claims expedition use case

carla icon carla

Open-source simulator for autonomous driving research.

chaosmonkey icon chaosmonkey

Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.

chiefonboarding icon chiefonboarding

Free and open-source employee onboarding platform. Onboard new hires through Slack or the web portal.

ghidra icon ghidra

Ghidra is a software reverse engineering (SRE) framework

machine-learning-based-car-insurance-claim-prediction icon machine-learning-based-car-insurance-claim-prediction

It is important for insurance companies to estimate the risk involved while covering a future customer. Predicting the chances of insurance claim for a future customer allows the company to avoid adding potentially loss making customers. It also helps in determining appropriate monthly charges form the insured person or object. Through this project I try to build a prediction model for a car insurance company to predict the chances of loss making insurance deal based on the details of the car. A major challenge in this project is associated with the number of claims in the training data, only about 0.7% of the data has cars that have claimed insurance. Though this small claim percentage seem insignificant bu the cost requires to cover these insurance could cost the company millions of dollars. To address this challenge, I try to implement sampling techniques to increase the percentage of claim data. Language: R Repository contains: Test and Training data files, R code and a detailed project report conveying challenges in the data and approach to build a final prediction model.

malware icon malware

Course materials for Malware Analysis by RPISEC

mbe icon mbe

Course materials for Modern Binary Exploitation by RPISEC

powershell-1 icon powershell-1

PowerShell functions and scripts (SCCM, SCSM, AD, Exchange, O365, ...)

pret icon pret

Printer Exploitation Toolkit - The tool that made dumpster diving obsolete.

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