Hello, I'm Abbireddy

Venkata Chandu

Next-word prediction project using Transformers and GPT-2. It utilizes GPTTokenizer for input preprocessing and evaluates the fine-tuned model with accuracy, perplexity, and fluency metrics to ensure precise and natural language predictions.

A web app that uses JavaScript and Web Speech API to convert live voice input into text in real-time. Features a simple UI with microphone access for interactive, accurate speech-to-text transcription.

FlavorFusion is a modern and responsive restaurant website built using HTML, CSS, and JavaScript. It features a sleek and elegant design, interactive user interface, smooth navigation, and ensures a seamless and engaging user experience across devices.

This project builds a secure and scalable AWS VPC featuring public and private subnets across two availability zones. It incorporates load balancers, auto scaling groups, and NAT gateways to ensure high availability, security, and efficient resource management.

Movie rating prediction uses machine learning algorithms to forecast user ratings based on historical data, movie features, and individual preferences. Common models include Linear Regression, Random Forest, and Neural Networks, providing personalized and accurate rating predictions.

This code creates an interactive cricket field using Konva.js, enabling users to add and drag players with editable labels. It enforces movement boundaries and player limits to ensure a realistic and user-friendly experience for team positioning and strategy planning.

Twitter Sentiment Analysis project leverages machine learning to classify tweets and detect user moods, opinions, and behavior patterns in real time. It provides actionable insights for brands, campaigns, and trend analysis across social media platforms.

Twitter sentiment analysis project using machine learning to classify tweets and understand user mood, opinions, and behavior patterns in real time for actionable social media insights.

An Amazon web scraper uses tools like BeautifulSoup or Scrapy to extract product data such as prices, reviews, and ratings, supporting market research while ensuring compliance with ethical standards and legal regulations.

Solved 550+ problems on LeetCode, showcasing strong problem-solving skills across data structures and algorithms. Earned 15+ achievement badges, reflecting consistent performance and deep understanding of coding challenges.

Solved 300+ problems on GeeksforGeeks, sharpening data structures and algorithms expertise. Secured 8th rank in campus leaderboard, demonstrating consistent coding practice and strong problem-solving capabilities in contests.

Completed 2000+ commits and maintained a 90-day contribution streak on GitHub. Earned 300+ stars across repositories, demonstrating consistency, active open-source involvement, and community appreciation for quality projects.