

Sriram Vennela: Interface-driven AI
Data science student and web developer building production-ready applications. Bridging advanced machine learning models with responsive, high-fidelity user interfaces.


Featured projects and Innovations
A collection of machine learning platforms and hardware automation interfaces engineered with clean architecture and structured data pipelines.
Zyra Recommendation Engine
An AI-powered platform designed to deliver personalized fashion recommendations. Integrates predictive machine learning models with a responsive, high-fidelity web interface.
Solar Tracker Interface
Agri Robot Controller
Responsive Portfolio
A responsive web application showcasing real-time hardware-to-software data pipelines, designed to monitor and optimize solar energy collection efficiency.
A specialized control interface for agricultural automation, visualizing telemetry data from automated farming robots operating in the field.
This high-fidelity dark-mode portfolio built with structured components, demonstrating clean execution, fast loading, and professional typography.
Engineered stack
Structured technical expertise spanning data pipelines, algorithmic problem solving, and modern responsive front-end execution.
Programming
Web Development
Computer Science
Python, C Programming, and SQL. Focused on building clean backend logic, structured database queries, and robust data pipelines.
HTML, CSS, and Responsive Design. Creating modern, accessible, and high-fidelity interfaces that bridge the gap between backend models and users.
Data Structures and Problem Solving. Implementing efficient algorithms and structured logic to resolve complex technical challenges.
The Learning Journey
C Programming → Python → SQL → Data Structures → Web Development → Artificial Intelligence → Zyra AI Project
