Anunya Kukkala

B.Tech Student in Information Technology

Hyderabad, Telangana 0+ yrs exp 82 · Excellent

About

An enthusiastic B.Tech [Information Technology] student with a strong desire to learn and contribute. A detail-oriented individual with excellent teamwork and communication skills. With a focus on continuous learning, I am eager to apply my technical knowledge to innovative projects and expand my knowledge. Actively seeking opportunities to enhance my skills and gain practical experience in a professional environment.

Skills & Expertise (18)

Deep Learning Advanced

8.5/10

Years Exp

Machine Learning Advanced

8.5/10

Years Exp

OpenCV Advanced

8.0/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

NumPy Advanced

8.0/10

Years Exp

Python Advanced

8.0/10

Years Exp

Java Intermediate

7.5/10

Years Exp

Problem Solving Intermediate

7.0/10

Years Exp

Quick Learning Intermediate

7.0/10

Years Exp

Teamwork Intermediate

7.0/10

Years Exp

Data Structures Intermediate

6.5/10

Years Exp

OOP Intermediate

6.5/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

JavaScript Intermediate

6.0/10

Years Exp

CSS Intermediate

6.0/10

Years Exp

HTML5 Intermediate

6.0/10

Years Exp

Project Management Intermediate

5.0/10

Years Exp

Microsoft Power Point

Work Experience

Developer

Cyber Attack Prediction Project

Jan 2026 - May 2026

Developed an AI-powered threat detection and response system using Machine Learning, Deep Learning, and Generative AI to detect and classify cyber threats such as Botnet, Malware, Phishing, and DDoS attacks. The system analyzes network and security data to generate confidence-based threat predictions, provides detailed attack insights, and recommends immediate mitigation actions and safety measures. Integrated Explainable AI to improve transparency and support effective cybersecurity decision-making through an interactive visualization dashboard.

Developer

Music Recommendation Using Facial Emotion Project

Jun 2025 - Sep 2025

This project presents an Emotion-Aware Music Recommendation System that suggests music based on a user’s real-time emotional state. Using facial emotion recognition and machine learning, the system detects emotions such as happiness, sadness, anger, and surprise. These emotions are mapped to suitable music recommendations to enhance personalization.

Developer

Expense Tracking App Project

Jan 2025 - Mar 2025

The Expense Tracker App is a Java application that helps users manage daily expenses by adding, viewing, and deleting records. It allows users to set a budget, automatically updates the remaining balance after each expense, and provides alerts when spending exceeds the budget.