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Data Science Enthusiast

Hello, I'm Abhishek Vishwakarma, currently pursuing a Bachelor's of Engineering in Artificial Intelligence and Data Science. I'm passionate about data science, which has driven me to acquire several skills, including Python, machine learning, deep learning, databases, and web development. I've worked on various projects, including leaf disease detection, Foodvision, and real estate price prediction. My goal is to become a data scientist and leverage my expertise to solve complex problems and create innovative solutions.

🌍 I'm based in Mumbai
🖥️ See my portfolio at MyProtfolio
✉️ You can contact me at [email protected]
🚀 I'm currently working on Animevision
🧠 I'm learning Langchain
🤝 I'm open to collaborating on Projects
⚡ I enjoy watching anime for relaxation and inspiration.

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Abhishek Vishwakarma's Projects

animevision

AnimeVision: An image recognition tool using ResNet50 and Jikan API to identify and fetch details of anime.

blendergooglegpu

A script to run on the command line of Google Colab to render Blender files using GPU

cmdtool

CMDTool: CMDHelpMeTool is a command-line tool for managing files and copying variable content to the clipboard.

echoproject

This is my first server based project..

factorialproject

This is my second project using Socket Server.

foodvision

FoodVision: A revolutionary project designed to enhance your culinary experience by effortlessly scanning food items to access comprehensive information, including nutritional details, suggested recipes tailored to the detected food, and nearby culinary inspirations.

leaf-disease-detection

Leaf Disease Detection: A project enabling farmers to identify plant diseases by scanning leaves, providing brief descriptions and suggesting supplements for treatment.

mldeploy

this is an admission prediction feature based on a linear model trained on a dataset containing 400 records. This model aims to predict the likelihood of admission to a university based on various factors.

ps1tool

Ps1Tool: A PowerShell script for swiftly copying file contents to the clipboard, ideal for code snippets, configuration files, or plain text documents.

seamlessm4t-translator

SeamlessM4t-Translator: Utilizing the powerful Seamless M4t Facebook model in the backend, this project facilitates seamless translation functionalities including S2ST, S2TT, T2ST, and T2TT queries.

show-ext

made input easy.

webview-application

WebView-Application: Essential to the Leaf Disease Detection project, it offers a user-friendly interface for accessing and interacting with project functionalities via web view.

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