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PAPANA BHAVANA RUSHI

@papanabhavanarushi

AI/ML developer building real-time computer vision models, including plant disease detection with 92% classification accuracy.

India
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What I'm looking for

I'm looking to develop scalable AI-driven solutions and optimize real-time machine learning pipelines.

I built an AI Plant Disease Detection model using a CNN to classify 12+ plant diseases from leaf images, achieving 92% classification accuracy. I also developed an end-to-end real-time prediction pipeline with inference latency under 300ms.

For my Sign Language to Text Converter project, I developed a real-time gesture recognition system that processed video at 25 FPS with 88% accuracy. I used OpenCV and TensorFlow to implement webcam-based live prediction with a sub-second response time.

Experience

Work history, roles, and key accomplishments

AT

Web Development Intern

Amdox Technologies

Jun 2026 - Aug 2026 (2 months)

Strengthened practical knowledge of web development through assigned technical tasks and real-world challenges. Improved technical, collaborative, and professional software development skills through industry exposure.

BL

AI | Data Science | Machine Learning Intern

Brain O Vision Solutions India Pvt. Ltd.

Jun 2025 - Aug 2025 (2 months)

Selected for a 2-month internship focused on AI, Python, Data Science, and Machine Learning. Gained hands-on exposure to solving real-world problems and strengthening practical AI/ML skills.

Education

Degrees, certifications, and relevant coursework

CU

CT University

Bachelor of Technology, Computer Science and Engineering

2023 -

Grade: 8.30 CGPA

Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning. Achieved a CGPA of 8.30.

GL

Great Learning

Course, Python Fundamentals

2025 - 2025

Grade: 91% average

Completed a course in Python Fundamentals for Beginners, scoring an average of 91% in quizzes.

SC

Sri Chaitanya Junior College

Intermediate, Intermediate

2021 - 2023

Grade: 74.2%

Completed Intermediate Education with a percentage of 74.2%.

Tech stack

Software and tools used professionally

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