Hi,It's Bhargavi

I'm

About me

As a motivated and results-driven Computer Science & Engineering student with a strong foundation in programming languages such as Java, Python, and C, I aim to leverage my skills in AI, machine learning, and computer vision to contribute to innovative projects. With a keen interest in advancing technology and a proven track record in project delivery and team collaboration, I seek to apply my technical knowledge and problem-solving abilities in a dynamic and challenging environment, contributing to the growth of the organization while continuing to develop professionally.

2022-2026
Btech In Computer Science and Technology CGPA : 8.94
Vignan's Nirula Institute of Technology and Science for Women
2020-2022
XII(IPE) In MPC Percentage: 95.4%
Sri Chaitanya Junior College
2017-2020
VIII-X (Schooling) Percentage: 99%
Bhashyam High School
  • Rice Leaf Disease Detection through Deep Q-CNN: A Synergistic Approach with Reinforcement learning [Under Review]

    Submitted to Iran Journal of Computer Science of Springer for review.The study introduces a novel approach for detecting rice leaf diseases by integrating Deep Q-Learning with Convolutional Neural Networks (CNN), achieving high accuracy.Implemented findings into a user-friendly application for real-time disease prediction, contributing to agricultural technology and precision farming.

  • Rice Plant Leaf Disease Detection Using AI

    Published in the Journal of Emerging Technologies and Innovative Research (JETIR), a UGC-approved journal with an impact factor of 7.95. It Leverages artificial intelligence to enhance the efficiency and accuracy of disease detection in rice plant leaves, contributing to advancements in agriculture technology.

Technical Skills

Java

70%

Python

85%

C

85%

JavaScript

30%

C++

65%

Kotlin

40%

Data Science

40%

DBMS/SQL

55%

CSS

80%

Html

90%

Internships

Artificial Intelligence Intern [Infosys]

Infosys

Developed an AI-powered Guest Experience Personalization System using LLMs and Retrieval-Augmented Generation (RAG) to extract real-time insights from guest reviews.Engineered a personalized dish recommendation system using XGBoost, incorporating feature engineering techniques to optimize model accuracy and enhance guest satisfaction through tailored suggestions.

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Software Engineer Intern [IBM]

Developed and implemented sentiment analysis models using advanced NLP techniques to extract actionable insights from customer reviews. Conducted text preprocessing, feature extraction, and sentiment scoring leveraging the Naive Bayes algorithm for high-accuracy classification. Demonstrated teamwork and problem-solving capabilities in fast-paced environments.

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Prompt Engineer

As a prompt engineer and freelance AI specialist, I optimize AI model interactions by crafting precise prompts to enhance accuracy and relevance. I have structured technical and research papers using advanced prompts and generated AI-based images and videos. Additionally, I design and test diverse prompt strategies to improve model coherence and collaborate with teams to develop reusable templates.

Web Developer

As a web developer and freelancer, I specialize in designing and developing responsive web pages that offer seamless user experiences across devices. During my freelancing work, I have created visually appealing and functional websites using HTML, CSS, and JavaScript, ensuring clean code and optimal performance. I collaborate with clients to understand their project requirements and deliver tailored solutions, while integrating interactive features to enhance user engagement.

My Projects

Motion Mind: Smart Activity Recognition for Home

Developed a deep learning model using ResNet and OpenCV for real-time human action recognition, enabling intelligent automation in home environments. Integrated human activity detection with IoT sensors to trigger home automation responses based on recognized movements, optimizing efficiency and responsiveness.

Vision Pong: Gesture-Controlled Gaming

Designed and developed an interactive Gesture-Based Pong Game using Python and OpenCV. Leveraged real-time hand movement detection through computer vision for gesture recognition, enabling seamless paddle control. created an intuitive, user-friendly interface to enhance user experience.

Rice Leaf Disease Detection

Designed an App for Rice Leaf Disease Detection that leverages deep learning model Deep Q-CNN to analyze and identify various diseases affecting rice plants, providing accurately and timely diagnostics to support agricultural health and improve crop yield.

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Contact me

nagulapallybhargavi@gmail.com

(+91) 9603255137