Projects
Automated Candidate Selection
Automates candidate selection using machine learning,
analyzing resumes, evaluating skills, and conducting personality
assessments based on the Five Big Traits, measured through five
questions each. Successful candidates receive personalized email
notifications,streamlining the hiring process.
Fitness Training Studio
Developed a fitness companion using the MEAN stack, empowering users to manage their fitness goals effortlessly.
Users can view, track, and adjust their plans, while administrators can manage user data and update fitness plans as needed. The application provides a responsive, user-friendly interface
and is scalable to accommodate growing user demands.
Smart Gift Assistant
Developed a Smart Gift Assistant using Flask and MongoDB to provide personalized gift recommendations based on user interests, occasions, and budget.
Integrated web scraping from Amazon to fetch live gift options and enhance user experience. Implemented optimization algorithms like
Dynamic Programming, Greedy, and Backtracking to maximize value and handle real-time constraints.
Movie Release Optimizer
Developed a Flask-based Movie Release Optimizer to assist producers in selecting optimal release dates using game theory and market analysis.
Integrated modules for competitor tracking, seasonal trends, and financial projections to maximize box office success.
Provided strategic recommendations based on Nash Equilibrium and real-time market conditions.
Online Voting Portal
Utilized MERN Stack for a secure voting platform with encrypted,
anonymous voting. Employed Git for version control and collaborated efficiently in Visual Studio Code.
Fostered democratic engagement by enabling participation from any location, promoting transparency and
convenience.
Global Electronics Retailer Data Warehouse Model
Constructed a data warehouse for a global electronics retailer, utilizing schema models and
implementing OLAP techniques for data analysis, enabling users to explore data granularities
and isolate segments for valuable business insights through visualizations.
Movie Review Text Mining Analytics
Created an application that scrapes reviews, analyzes sentiment (positive/negative/neutral), and computes metrics like
precision and recall. Reviews are cleaned, summarized, and presented with a word cloud highlighting key terms.
Users can search for specific keywords within the reviews, facilitating focused analysis.
Transportation Problem Solver
Robust application for optimizing transportation logistics
through integer programming techniques, including
North-West Corner, Least Cost, and Vogel's Approximation
Methods,streamlining resource allocation and cost
reduction in supply chain management
Digital Banking Experience
An interface featuring a viewing profile,
conducting transactions, using a loan calculator, applying
for a loan, accessing locker details, blocking an ATM,
raising requests/complaints, providing feedback, and
logging out, providing a user-friendly platform for banking
activities.
