Hi, I'm Pecheti Shiva Teja
Artificial Intelligence Engineering Student
A final-year undergraduate engineering student at Amrita Vishwa Vidyapeetham , Bangalore.
Contact meAbout Me
My introduction
I'm a final-year AI undergraduate, passionate about technology and an avid reader. I have a self-motivated and can-do attitude, thriving in challenging and dynamic environments. Seeking a competitive position to enhance my skills and contribute to a professional organization. I'm very much passionate to learn new stuff that interests me and can help me to get better.
CGPA
Projects
experience
Skills
My technical levelProgramming Languages
Java
80%Python
55%IT Constructs
DS & Algorithms
80%OOP
70%OS
75%DBMS
50%Technologies
HTML
85%CSS
70%JavaScript
60%Qualification
My personal journeySSC
Tirumala Proactive (EM)High School
Class 12th
TirumalaJunior College
College
Amrita Vishwa Vidyapeetham, BengaluruProjects
Most recent work
Twitter Live Feed Analysis and Streaming for Movies
This project is about Twitter Live Feed Analysis and Streaming for Movies. The purpose of movie tweet analysis is to analyze tweets about movies in order to gain insights about public opinion of the movies, track the popularity of movies, and potentially predict box office performance. This can be useful for movie studios, marketers, and investors to make informed decisions about future movie production and advertising. This analysis can be used by movie studios and marketers to gain a better understanding of how their movie is being received by audiences, and to identify areas where they might need to make improvements or adjustments. This project provides live analysis based on your location
GitHub Repository See Live
Movie Booking System
The AMAX Movie Booking System is a web-based application that enables users to browse and book movie tickets for various theaters. The application provides a user-friendly interface to select movies, view showtimes, choose seats, and confirm bookings. Key features include user authentication, booking history, and payment method selection.
GitHub Repository See Live
Gold Price forecasting web application
The Gold Price Prediction Web App is a Django-based application that leverages machine learning techniques to predict gold prices. The Gold Price Prediction Web App combines data analysis, machine learning, and web development to provide users with insights into gold price trends. It offers a user-friendly interface with interactive visualizations and real-time data integration, making it a valuable tool for anyone interested in gold market analysis. Feel free to explore and customize the application based on your specific needs.
GitHub Repository See Live
Flood detection and estimation in Aerial Imagery using Deep Learning
Automated flood damage analysis is the focus of this project, utilizing deep learning, computer vision techniques, and satellite/aerial photos. The primary goal is to create a segmentation model that accurately identifies water patches in flood photos, surpassing traditional methods with advanced algorithms like Multi-Layer Perceptron (MLP) classification and the U-Net segmentation model. Emergency response teams stand to benefit greatly from this research. The precise identification of flooded areas will enable effective planning, resource allocation, damage evaluation, and post-disaster recovery operations. Special attention is given to estimating the flood-affected area.
GitHub Repository See Live