Projects

Projects with data, ML, and backend depth

Selected academic and hands-on projects showing practical machine learning, analytics, APIs, and database design.

Personalized Fitness Diet Recommendation System

ML-powered Flask app that predicts calorie needs and generates optimized diet plans using Random Forest and Gradient Boosting models.

Key features

  • Predicts calorie requirements from user inputs.
  • Generates diet recommendations with ML-backed logic.
  • Includes Flask interface for real-time output.
PythonFlaskScikit-learnPandasNumPy
Demo PendingGitHub

Enterprise GenAI Adoption Analysis

Data analysis project measuring enterprise AI adoption trends, productivity impact, employee sentiment, and workforce role transformation.

Key features

  • Analyzed productivity and role transformation trends.
  • Created visual dashboards for presentation-ready insights.
  • Mapped employee sentiment patterns around AI adoption.
PythonPandasMatplotlibSeaborn
Demo PendingGitHub

Spotify Data Analysis

Exploratory data analysis on music datasets with feature correlation, top genre discovery, artist insights, and interactive visual dashboards.

Key features

  • Explored audio feature correlations across tracks.
  • Identified top artists, genres, and engagement patterns.
  • Built interactive data visualizations with Plotly.
PythonPandasNumPyPlotly
Demo PendingGitHub

Delhi National Museum Management System

Spring Boot and MySQL backend for artifact records, structured database management, and local image storage workflows.

Key features

  • Designed artifact and collection database schema.
  • Built backend workflows for record management.
  • Handled local image storage for museum artifacts.
Spring BootMySQLJavaREST APIs
Demo PendingGitHub