Rakesh Kanneeswaran
@rakeshkanneeswaran
Joined on 01 October 2022
Fullstack Developer | Building AI at scale
GitHub Stats
21
Followers
5
Repositories
0
Organizations
1
Gists
7
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0
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137
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Most Used Languages
68.09%
TypeScript
23.77%
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3.61%
JavaScript
1.53%
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1.26%
CSS
1.21%
Dockerfile
0.38%
Shell
0.11%
HTML
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rakeshkanneeswaran
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smartliftsystemversion-2
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Radix-AI
RaidexAI is a Next.js application integrated with a machine learning model, YOLOv8, to detect anomalies in radiology images. The output is sent to a Flask server, which uses OpenCV to create Regions of Interest (ROIs) in the images and employs a Language Model (LLM) for contextual analysis, interpreting the content alongside the detected anomalies
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NarrationNexus
Image processing, storytelling, and comic creation. Users upload images, processed via computer vision and narrated by LLavA and OpenAI Davinci models. Built with React, Axios, and Web Speech API for accessibility. Swift deployment on AWS S3 and CloudFront showcases my full-stack, AI integration, and DevOps skills.
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