Hi, I'm Manvitha Pola
AI/ML Enthusiast • Web Developer
4th Year B.Tech @ SNIST
Merging code with creativity to build smart solutions and stunning websites!
View Resume
AI/ML Enthusiast • Web Developer
4th Year B.Tech @ SNIST
Merging code with creativity to build smart solutions and stunning websites!
View Resume
An enthusiastic 4th-year B.Tech student in Artificial Intelligence and Machine Learning, with strong skills in AI, Machine Learning, and Web Development. Proficient in frontend technologies and completed backend development with PHP. Passionate about building AI-driven solutions and dynamic web applications that solve real-world problems.
Sreenidhi Institute of Science and Technology
Hyderabad, Telangana
B.Tech in AIML (2022 - Present) | CGPA: 9.69
Narayana Junior College
Hyderabad, Telangana
(2020 - 2022) | Percentage: 98%
Sanskriti - The School
Hyderabad, Telangana
CBSE (2010 - 2020) | Percentage: 94%
A computer vision–powered web application that anonymizes sensitive data in images, videos, and live webcam feeds using YOLOv8 + OpenCV. Supports multiple anonymization modes (Blur, Pixelate, Blackbox) with a futuristic UI built using Flask + TailwindCSS. Designed for privacy protection in surveillance, media, and research datasets.
A web application that aggregates hackathon events from multiple platforms like Devpost, MLH, Hackathon.com, Eventbrite, and AngelHack. Provides a clean dashboard with filters, charts, and clickable registration links, helping students and developers track and explore upcoming hackathons efficiently. Built using Flask + TailwindCSS + JavaScript.
A deep learning model trained on the GTZAN dataset to classify music into 10 genres. Integrated with a visually styled Streamlit app featuring gradient themes and GIFs for better UX. Focused on audio feature extraction and accurate prediction through convolutional layers.
Built a content-based movie recommender using metadata like genre, cast, and keywords. Utilized NLTK for text processing and cosine similarity to generate personalized suggestions.
A web application that simplifies shared expense management among roommates. Users can add, edit, and delete expenses, categorize them (e.g., rent, food, internet), view balances, settle up payments, and visualize spending through charts. Includes features like CSV/PDF export, filter by category/month, and individual debt settlement.
A full-stack web application to automate leave tracking, approvals, and reporting for employees, interns, and trainees. Features role-based dashboards for Employees, Managers, and Admins, with real-time leave balances, smart validations, holiday calendars, and reporting tools. Built for a sleek, futuristic, and professional HR workflow experience.
Velisca is a luxury fashion e-commerce site inspired by top brands. It features category-wise product pages, filters by category and price, wishlist/cart options, and a stylish, high-end UI using a custom color palette. Backend integration handles dynamic product display and data management.
A visually appealing online bookstore with CRUD functionality to add, display, and manage books. Includes features like tracking sales and purchase history. Designed with a warm gradient UI and an intuitive navigation bar for seamless user experience.
A consultancy platform guiding students in studying abroad, featuring university info, courses, scholarships, and application tips. Includes a clean UI, testimonials, blogs, FAQs, and personalized guidance for a smooth overseas education journey.
Duration: May 2024 – July 2024
Developed MediAI, an AI-driven healthcare web application as part of the Intel® Unnati Industrial Training program. The project was completed under the theme “Integrated Common Services to Common People”, with mentorship and industry-focused training.
Book: Integrating Artificial Intelligence Into the Energy Sector
Publisher: IGI Global Publications
DOI:
https://doi.org/10.4018/979-8-3693-7112-1.ch003
Co-authored a chapter that explores the role of artificial intelligence in revolutionizing energy systems. The work focuses on smart grid optimization, predictive analytics, and sustainable energy management through intelligent data-driven technologies.
Feel free to reach out to me via any of the platforms below. I'm always open to connecting, collaborating, and discussing new opportunities.