AI & ML Undergraduate Researcher

Sarvani
Vunna.

I study the invisible decisions behind digital experiences—building intelligent systems that understand behavior, sharpen personalization, and keep people at the center.

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Sarvani Vunna, AI and machine learning undergraduate researcher
Research · AI/ML

Currently

B.Tech, CSE (AI & ML)

AITAM · Class of 2028

9.22 / 10 CGPA

Primary research interests

AI in Consumer Behavior01 //
Recommendation Systems02 //
Personalization Algorithms03 //
Digital Ecosystems04 //
Consumer Analytics05 //
Human–Computer Interaction06 //

Exploring the intersection of machine intelligence, consumer choice, and human intuition.

01Research lens

Curiosity,
made useful.

My interests sit where machine intelligence meets human choice. I’m especially drawn to systems that can explain not only what people prefer, but the context behind why.

AI in Consumer BehaviorRecommendation SystemsPersonalization AlgorithmsDigital EcosystemsConsumer AnalyticsHuman–Computer Interaction
02Selected projects
PROJECT / 01

AI-Based Recommendation System

A content-based recommendation engine using cosine similarity to create personalized suggestions—and examine how those suggestions shape engagement and decisions.

PythonScikit-learnCosine similarity
PROJECT / 02

Consumer Sentiment Analysis

An NLP pipeline that classifies customer reviews as positive, negative, or neutral, translating unstructured feedback into visual consumer insight.

NLPTextBlobData visualization
PROJECT / 03

Multi-Personality Chatbot

An adaptive chatbot exploring how conversational style and personality can influence user interaction, trust, and sustained engagement.

Conversational AIHCIPython

The next question is already forming.

Discuss a research collaboration
03Recognition

Small wins.
Serious momentum.

2025

Winner — Code Neurons

Inter-college coding competition · Merit Certificate

2025

First Place — Chatbot Development

Built and presented an adaptive conversational system

2024

First Place — Programming Quiz

Computer programming fundamentals and problem solving

Academic

Reliance Foundation Scholar

Shortlisted candidate · Maintained 9.22/10 CGPA

04Technical foundation

Languages

  • Python
  • Java
  • C

AI & Data

  • Machine Learning
  • Recommendation Systems
  • NLP
  • Consumer Analytics

Toolkit

  • Pandas
  • Scikit-learn
  • TextBlob
  • Matplotlib
  • Git
  • GitHub

Web

  • HTML
  • CSS
  • JavaScript