pranaykarvi

Pranay Kumar Karvi

2nd Year Computer Science Engineering Student.

4Followers
4Following
23Repos

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Contributions (2024)

Total Commits
253
Issues Closed
0
PRs Merged
4

Repository Impact

Total Stars
2
Total Forks
0

Top Languages

Jupyter Notebook99.0%
CSS0.5%
SCSS0.1%
Python0.1%
HTML0.1%

Top Repository

2
🍴 0

Contribution Graph (2024)

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Contributions by Month (2024)
Contributions by Day (2024)
Active Days
188days
Longest Streak
24days
Longest Gap
11days
Weekend Activity
58days

Pinned Repositories

AppleStockPricePrediction

This project demonstrates the use of advanced deep learning architectures, specifically LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) layers, to forecast Apple stock prices. While primarily focused on Apple stock, the model is flexible enough to handle datasets with similar fields (like open, close, high, low prices).

Jupyter Notebook
00

topography-classifier

The Topography Classifier project utilizes deep learning techniques to classify satellite images into different topographical categories such as sky/cloud, water, desert, and forest. The project aims to accurately predict and analyze land features, offering valuable insights for environmental monitoring and land management.

Jupyter Notebook
00

chatBot-1.O

This repository named as chatBot-1.O is mainly focused on query based on machine learning concepts and techniques

Jupyter Notebook
00

PlantDisease

This is an end to end machine learning project consisting of a model trained on Convolutional Neural Network (CNN). Then using Streamlit we made an webapp which would take images as input and predict the disease occurred to the plant

Jupyter Notebook
00

StrokePredictionWebApp

This is an End to End Machine Learning based project which further provides the user with an interface to give inputs on an webapp through which he/she can get the prediction whether they stand a chance for stroke or not for early diagnosis

Jupyter Notebook
00

dashify

web-based platform designed to empower users by transforming their raw data into dynamic live dashboards. The platform simplifies the data visualization process by allowing users to upload CSV files, define their criteria, and instantly generate customized, interactive visualizations.

HTML
00
❤️ Support

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