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Github Vinay0905 Project

Vinh Project Github
Vinh Project Github

Vinh Project Github Ai x systems x vision | ece undergrad building rag chatbots, agentic langgraph workflows, and safety focused computer vision systems | 400 leetcode. "trying best" — one more commit, one more experiment, one more iteration. 🧳 an agentic ai travel assistant built using langgraph and langchain. Developed a project on solving the elephant and human conflict which has been rising in forest and settlement areas. we used ai powered swarm drones for monitoring, detecting, and safely redirecting elephants away from human settlements.

Github Vinay0905 Project
Github Vinay0905 Project

Github Vinay0905 Project Exciting news, everyone! 🎉 i am thrilled to share my latest project on github my very first website built with vs code, html, and css. 💻 as a web developer, it has been a rewarding journey. This project focuses on detecting fish species using the yolov8 object detection algorithm. it aims to provide accurate and efficient fish detection models for applications such as marine biology research and automated fishing systems. Folders and files repository files navigation this is my end to end project about no description, website, or topics provided. I have worked on impactful projects such as leading a lora based coal safety management system during a hackathon and developing an autonomous navigating rover simulating lunar exploration.

Github Vignajyothi Project1
Github Vignajyothi Project1

Github Vignajyothi Project1 Folders and files repository files navigation this is my end to end project about no description, website, or topics provided. I have worked on impactful projects such as leading a lora based coal safety management system during a hackathon and developing an autonomous navigating rover simulating lunar exploration. This project leverages the yolov8 algorithm to detect fish species with high accuracy. it includes tools for training, evaluating, and deploying models, making it a valuable resource for developers and researchers in marine biology and related fields. The open source project gained 50 github stars and has been referenced by other researchers working on marine biology computer vision tasks. a rag powered multilingual voice assistant built for educational navigation and student support. combines retrieval augmented generation with a voice interface to answer queries from a knowledge base. Housing regression mle is an end to end machine learning pipeline for predicting housing prices using xgboost. the project follows ml engineering best practices with modular pipelines, experiment tracking via mlflow, containerization, cloud deployment on google cloud, and comprehensive testing. Config files for my github profile. contribute to vinay0905 vinay0905 development by creating an account on github.

Github Manya125 Project
Github Manya125 Project

Github Manya125 Project This project leverages the yolov8 algorithm to detect fish species with high accuracy. it includes tools for training, evaluating, and deploying models, making it a valuable resource for developers and researchers in marine biology and related fields. The open source project gained 50 github stars and has been referenced by other researchers working on marine biology computer vision tasks. a rag powered multilingual voice assistant built for educational navigation and student support. combines retrieval augmented generation with a voice interface to answer queries from a knowledge base. Housing regression mle is an end to end machine learning pipeline for predicting housing prices using xgboost. the project follows ml engineering best practices with modular pipelines, experiment tracking via mlflow, containerization, cloud deployment on google cloud, and comprehensive testing. Config files for my github profile. contribute to vinay0905 vinay0905 development by creating an account on github.

Github Manasa4040 Project
Github Manasa4040 Project

Github Manasa4040 Project Housing regression mle is an end to end machine learning pipeline for predicting housing prices using xgboost. the project follows ml engineering best practices with modular pipelines, experiment tracking via mlflow, containerization, cloud deployment on google cloud, and comprehensive testing. Config files for my github profile. contribute to vinay0905 vinay0905 development by creating an account on github.

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