AARUSHI BISHT
@aarushibisht01A BTech CSE student specializing in AI/ML, passionate about exploring and applying Artificial Intelligence and Machine Learning
Language Breakdown
Lines of code distribution across 11 owned repositories
T-Shaped Developer
T-shapedDeep in HTML with broad versatility
Collaboration Network
Global Impact visualization
Repos
11
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
Ashwani Tyagi
@Aashu-Tyagi
Bhramari
@Bhramari1225
Mayank Sangwan
@Mayank0204
Vansh Tyagi
@VanshTyagi01
Gourav
@Gourav830
Top Repositories
CuraCheck is an interactive health assistant that guides users through a dynamic symptom-based questionnaire and provides smart wellness insights for early diagnosis support.
Style-IN is a weather-based outfit recommendation web app using Flask, ML, and HTML/CSS. Based on user input, it predicts weather type and shows styled outfit suggestions through dynamic, aesthetic pages — blending creativity with real-world utility.
This mini project focuses on predicting the direction of stock prices using two popular machine learning algorithms: Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). Visualizations like correlation heatmaps and line plots of closing prices are created to gain insights from the data.
A machine learning project using Logistic Regression, Random Forest, and Gradient Boosting to predict heart disease risk. Features include data cleaning, feature engineering, model evaluation, and insightful visualizations.
This project uses K-Means and DBSCAN clustering algorithms for Customer Segmentation. By applying PCA, I reduced the data's dimensions for better visualization of distinct customer groups. The project aims to help businesses understand customer behavior for improved targeting and marketing strategies.
A Movie Recommendation System using Collaborative Filtering and Content-Based Filtering that suggests personalized movies based on user preferences and ratings. The system offers genre-based recommendations and leverages user similarities to provide tailored movie suggestions.
A Linear Regression model to predict house prices based on features like bedrooms and square footage. Trained on real estate data, the model is evaluated using metrics like Mean Absolute Error and R-squared.
Open Source Impact
Contributions to external projects
No external contributions found.