Projects

DataEaze 

DataEaze is a no-code data analytics and modeling platform that automates the complete workflow from data upload to actionable insights. The first version of DataEaze was developed at CUSB under the guidance of Dr. Sandeep Kumar and successfully submitted as the Minor Project for my M.Sc. degree. The major upgraded version was later developed and completed at NIELIT Patna under the supervision of Shri Ankit Kumar (Scientist-C), featuring significant improvements in functionality, scalability, and user experience. Built using Flask for backend and Vue.js for frontend, the platform integrates essential data science libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, PyTorch, and Statsmodels to support data preprocessing, EDA, visualization, and machine learning/deep learning modeling. Designed for usability, DataEaze enables even non-technical users to perform end-to-end data analysis without writing code. The latest version includes Generative AI-based natural language explanations, making analytical outputs more interpretable and accessible.

Project - Software Engineering 

Effective integration of Generative AI into programming learning environments 

Institute: IIT Madras

Final Submission: Click here 

Source code: Click here 

Team Members : Hari Prapan, Pragya Singh , Anujj Prem , Bindu , Mahak Thakre , Santosh kr. ,Ojasv Singhal , Kavya Dwivedi

Agro-Business Data Analysis Capstone Project

The Agro-Business Data Analysis Capstone Project was completed as part of the Business Data Management course in the BS in Data Science and Applications programme at IIT Madras. In this project, I collected primary socio-economic and production data from a local farmer and applied various statistical analysis techniques to assess crop profitability, cost structures, and resource utilization. Based on the insights derived, I formulated data-driven recommendations to optimize crop selection and market strategy, which showed the potential to increase the farmer’s annual revenue by nearly 25%. This project demonstrated how data-centric decision-making can positively impact small-scale agriculture and rural livelihood outcomes. 

Detailed Analysis Report : Click here 

Movie Ticket booking Web App - 2

App Dev 2 Project

Technology used : Flask , Vue,js , HTML , Python , Matplotlib , Sqlite , API ,CSS , Celery , Mailhog

Institute : IIT Madras 

Source Code : Click here 

Movie ticket booking Web App - 1 

App Dev 1 Project

Technology used : Flask , Jinja2 , HTML , Python , Matplotlib , Sqlite , API ,CSS

Institute : IIT Madras

Source Code :  Click here 

Sentiment Analysis ML Project

The Movie Review Sentiment Analysis project was completed as part of 2nd year project work in the BS in Data Science and Applications programme at IIT Madras. The goal was to classify movie reviews as positive or negative using machine learning techniques. I performed extensive Exploratory Data Analysis (EDA) and data visualization to understand text patterns and sentiment distributions. Using Scikit-Learn, I built and evaluated multiple models including Naive Bayes, Logistic Regression, and Decision Tree, achieving around 80% prediction accuracy. Model evaluation techniques such as precision, recall, and confusion matrix analysis were used to fine-tune performance. 

Strategies for Professional Growth

Institute : IIT Madras

Group Project

A short research on

"Importance of Communication and Listening Skills"

• Team Contract : Click to view                                   

• GP1 Submission : Click to view 

• Poster : Click to view                                                   

• GP2 Submission : Click to view       

Team Member : Hari Prapan (21F3002087) | Pragya Singh (21F3001204) |Ullas Kumar (21f3002619) | Visist Tallam (21f2001553) | Dhruv Pamneja (21f1001719)

OddTown-EvenTown Learning cum Gaming Web App

A project under course on:

Special Topics in Computer Science: Application of Linear Algebra to combinatorics

Institute: IIT Gandhinagar

Demo: www.youtube.com/live/0g_SxuYUZs8?si=R5kT0ADPavMlHSTi&t=5094 

Source Code: https://drive.google.com/drive/folders/1zOdt7pMmSe4sIZlVbg9-diIP7sthGyOT?usp=sharing