I’m Pragnavi Myakala — I’m an AI & Machine Learning Student
I design, prototype and deploy AI-powered web applications and ML systems — from data pipelines and model development to user-focused interfaces and deployable prototypes. Available for internships, collaborations and freelance projects.
2+
Years Learning
50+
Project Reviews
6
Awards & Certificates
Pragnavi — building practical AI solutions
I'm an AI & Machine Learning undergraduate from Hyderabad with hands-on experience in building ML models, deploying local LLMs, and integrating AI into web applications. My work spans classification models, computer vision CNNs, NLP-based systems and full-stack project deployment.
- ✔ Parkinson's Disease Detection using ML (SVM / Logistic Regression)
- ✔ AI-Based Waste Classification (CNN)
- ✔ Offline LLM integrations & Plagiarism Detection (NLP + Flask)
Recent Projects
A selection of web & AI projects — prototyped, tested and deployed.
Virtual Interior Designer
A web-based intelligent assistant that simplifies room design using AI, computer vision, and 3D-style recommendations.
Vindhu Bhojanam
South-Indian themed food ordering web app with responsive UI and dynamic menu interactions.
Weather Forecast App
Real-time weather dashboard using OpenWeatherMap API with a clean, minimal UI.
Blossoms Bazaar
A cozy bookstore-style experience site with gallery and sections inspired by Blossoms Book House.
AI Waste Classifier
CNN-based smart waste sorting system for classifying recyclable vs non-recyclable items.
FAQ Chatbot
An AI-powered chatbot to answer internship and organization FAQs using NLP-style intent handling.
What I Offer
Simple Plans
What people say
"Pragnavi handles ML engineering with clarity — strong fundamentals and rapid iteration."
"Impressive prototype delivery and strong presentation during hackathons."
"Dependable developer, eager to learn and contributes to full-stack tasks."
Open for internships and freelance projects. Flexible timelines.
Python, Flask, React, TensorFlow/Keras, spaCy, SQL, AWS basics.
Yes — model containerization and simple cloud deployments.
Yes — README, API docs and basic user guides included.
Let’s build something
Reach out for internships, collaborations, or to discuss a project.