PROJECTS
A focused view of the work Akshay Penumarthi has built across AI, Python, and full stack development.
The selection spans travel planning, gesture-driven drawing, forecasting, mobile usage analysis, and LLM inference research.
Each project pairs practical software with a clear technical idea, built to solve a distinct problem.
WORK
These projects show how the work shifts between product thinking, machine learning, interface design, and applied development.
AI TRIP PLANNER
An AI-powered travel planning application using Google Gemini, OpenStreetMap Nominatim, Leaflet, and OpenRouteService for destination search, route visualization, travel suggestions, and budget estimation.
VIRTUAL DRAWING
A real-time virtual drawing application built with hand tracking and gesture recognition, combining OpenCV, MediaPipe, Tkinter, and Python for a responsive canvas experience.
FARMERS RETAIL MART
A sales forecasting and inventory management application that analyzes sales data and supports inventory decisions, built with Python, Flask, MySQL, and machine learning.
MOBILE ADDICTION
A machine learning project that analyzes mobile usage patterns through data analysis and predictive modeling to surface meaningful behavior signals.
RESEARCH
The research-oriented project centers on inference optimization and the practical tradeoffs between models, quantization methods, and runtimes.
ADAPTIVE LLM INFERENCE ENGINE
A research-oriented project for intelligent LLM inference optimization, with a focus on selecting suitable models, quantization methods, and runtimes based on task requirements and hardware capabilities.
CONTACT
If you want to talk through a build, a collaboration, or a technical idea, reach out with a short note and the context you have in mind.