DS-1090

CSE OUCE'25 | Poet | Open Source Contributor

Pinned Repositories

HydHomePrice_Forecast
A Random Forest based ML model that predicts the price of a home in hyderabad based on Location and Sqft. Deployed on web using Flask
Language:Jupyter Notebook10
Indian_Pattern_Classifier
A CNN classifier model achieving a test accuracy of ~82%, categorizes images into three distinct patterns: Banarasi, Pichwai, and Ikat. Also applied ResNet and EfficientNet architectures on the data, achieved ~40% test accuracy
Language:Jupyter Notebook10
MoodTunes_WebApp
An Interactive Web application using React.js, to showcase the top 5 discography, genre of a chosen artist, mood and duration of their songs. Integrated with the Spotify API, used sentiment analysis on the song name to predict the mood.
Language:JavaScript00
poetry-stack.github.io
An Poetry Blog site todisplay my poems, allows users to like , comment. Used HTML, CSS, JS, PHP. Stores comments and contact details in a database. (The complete backend part has been implemented on the pc, have implemented on dand.html as a reference)
Language:HTML10
Insights
Used the NYT (New York Times) API to retrieve the most popular articles spanning a week, performed some data cleaning operations, then employed JS, Python alongside Matplotlib and JSON for analyzing and visually presenting the week's most popular news trends.
Language:Python10
UAV_Detection
UAV detection using Custom dataset. Trained using Ultralytics YOLOV8 API Annotated using Roboflow
Language:Python10
discover-palate
A simple React.js application which lists top 5 dishes of the selected Indian state. Used Docker, hosted image on Dockerhub
Language:JavaScript10
DS-1090
Config files for my GitHub profile.
10
Finance_Atlas
Finance_Atlas: A simple web platform that displays economic indicators of 5 countries. Used IMF(International Monetary Fund) API to retrieve the data.
Language:JavaScript10
HydHomeData-Analysis
A comprehensive Analysis and Prediction of Housing Prices in Hyderabad: Prediction using Multiple Regression,Linear Regression. Techstack: Matplotlib, Numpy, Pandas, Scikit Learn
Language:Jupyter Notebook10

DS-1090's Repositories

DS-1090/DS-1090
Config files for my GitHub profile.
1
DS-1090/HydHomeForecast_webapp
A Random Forest based ML model that predicts the price of a home in hyderabad based on Location and Sqft.
Language:Python
DS-1090/HydHomePrice_Forecast
A Random Forest based ML model that predicts the price of a home in hyderabad based on Location and Sqft. Deployed on web using Flask
Language:Jupyter Notebook1
DS-1090/Indian_Pattern_Classifier
A CNN classifier model achieving a test accuracy of ~82%, categorizes images into three distinct patterns: Banarasi, Pichwai, and Ikat. Also applied ResNet and EfficientNet architectures on the data, achieved ~40% test accuracy
Language:Jupyter Notebook1
DS-1090/Traduire
An English to French translator using encoder-decoder (seq2seq LSTM model) having an accuracy of 70%.
Language:Jupyter Notebook
DS-1090/English-Minionese-Translator
An attempt to translate English to Minionese :)
Language:Jupyter Notebook
DS-1090/UAV_FINAL
Language:Jupyter Notebook
DS-1090/UAV_YOLOv7
Language:Jupyter Notebook
DS-1090/UAV_YOLOV8
Language:Jupyter Notebook
DS-1090/UAV_YOLOV9
Language:Jupyter Notebook
DS-1090/Mood-Tunes_WebApp
An Interactive Web application using React.js, to showcase the top 5 discography, genre of a chosen artist, mood and duration of their songs. Integrated with the Spotify API, used sentiment analysis on the song name to predict the mood.
Language:JavaScript1
DS-1090/discover-palate
A simple React.js application which lists top 5 dishes of the selected Indian state. Used Docker, hosted image on Dockerhub
Language:JavaScript1
DS-1090/NFDB
Language:HTML
DS-1090/Doc_Parser
A Document(Vehicle License) data extractor using React, Django, Axios, EasyOCR, Material UI
DS-1090/poetry-stack-2.O
A blog site to display my poems. Has the option to comment and like. Stores comments and contact details of visitors in a my-sql database. Used Docker.
Language:HTML1
DS-1090/SPF-Seeker
Sunscreen recommender using Java Swings, JDBC, Maven and MySQL, with a database of 40+ Sunscreens. Allows query of data by listing ingredients or SPF.Data collected using Beautiful Soup
Language:Java1
DS-1090/Finance_Atlas
Finance_Atlas: A simple web platform that displays economic indicators of 5 countries. Used IMF(International Monetary Fund) API to retrieve the data.
Language:JavaScript1
DS-1090/Insights
Used the NYT (New York Times) API to retrieve the most popular articles spanning a week, performed some data cleaning operations, then employed JS, Python alongside Matplotlib and JSON for analyzing and visually presenting the week's most popular news trends.
Language:Python1
DS-1090/Handcricket
Handcricket Game Application using Tkinter
Language:Python
DS-1090/Hangman
Hangman game using Tkinter
Language:Python
DS-1090/UAV_Detection
UAV detection using Custom dataset. Trained using Ultralytics YOLOV8 API Annotated using Roboflow
Language:Python1
DS-1090/Postman-Challenge
This is the all in one place for documentation help regarding the postman challenge.
DS-1090/learn
Learning app for kids
Language:Dart
DS-1090/ExamTime_android
API documentation
Language:Dart
DS-1090/Moksh
Unlock your potential and achieve true balance in life with Moksh
DS-1090/HydHomeData-Analysis
A comprehensive Analysis and Prediction of Housing Prices in Hyderabad: Prediction using Multiple Regression,Linear Regression. Techstack: Matplotlib, Numpy, Pandas, Scikit Learn
Language:Jupyter Notebook1
DS-1090/2048_Game
2048 game using html, css, js
Language:JavaScript
DS-1090/WorldClockapp
Language:Dart
DS-1090/Swift-Rhythms
Provides Spotify Links to Taylor swift songs based on the mood selected by the user. Using HTML,CSS,JS,Bootstrap
Language:JavaScript
DS-1090/MoodTunes_WebApp
An Interactive Web application using React.js, to showcase the top 5 discography, genre of a chosen artist, mood and duration of their songs. Integrated with the Spotify API, used sentiment analysis on the song name to predict the mood.
Language:JavaScript