HYMAVATHI PADAVALA Programmer • Web Developer • Machine Learning Explorer

My Story

Professional Me

I am a final-year student at Shri Vishnu Engineering College for Women, pursuing a Bachelor of Technology in Artificial Intelligence and Data Science. With a strong academic record (CGPA 9.31/10), I have built expertise in programming, web technologies, and data-driven problem solving. Over the years, I have worked on impactful projects, including a Product Review Analysis Dashboard for sentiment insights, a Smart Notepad with security and accessibility features, and a News Report platform with personalized content delivery. My learning journey has also been shaped by hands-on experiences as a finalist in the Adobe India Hackathon 2025 and AeroHack 2025, where I designed innovative AI and algorithmic solutions. Beyond academics, I actively contribute to collaborative initiatives such as the Wikimedia Technology Summit and interdisciplinary IoT projects at IDEA Lab. I am passionate about Artificial Intelligence, Data Science, and Software Development, and I am seeking opportunities to apply my skills in solving real-world challenges while continuously growing as a technologist.

Languages

My favorite languages for systems programming, software engineering, and data analysis.

Front-End

My preferred technologies for front-end web development and component design.

Back-End

My preferred technologies for back-end web programming and database architecture.

Tools

My favorite tools for version control, code editing, and container orchestration.

Featured Projects

Product Review Analysis Dashboard

Product Review Analysis Dashboard

  Streamlit  

Created a system to scrape and preprocess product reviews, analyze sentiment, and generate concise summaries. Designed an interactive dashboard using Streamlit to present insights clearly, enabling quick understanding of customer opinions.

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Smart Notepad

Smart Notepad

   

Developed a secure, voice-enabled notepad with password-protected access and accessibility features. Integrated text-to-speech and encryption-based storage to ensure privacy and efficient note management.

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News Report

News Report

Node.js    

Built a web-based news platform with dynamic category-based content filtering, enabling personalized news delivery. Enhanced user engagement by tailoring content to individual preferences.

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Calorie Track

Calorie Track

  Scikit-learn  

Designed and implemented a machine learning model to predict calories burned based on physical activity parameters. Achieved 85% prediction accuracy, making it a reliable tool for personalized health tracking.

Check it out!