Pradhyumna Kadambi

Final-year Computer Science and Engineering student at VIT Vellore, with experience in web development, API automation, and web automation development.

• Prison Management System, Implemented a Prison Management System using a MySQL database for backend and Python for frontend integration. The system efficiently manages inmate records and scrapes data from Wikipedia for information on crimes, ensuring secure and comprehensive data handling.
• Crop Quality And Price Prediction Using Enhanced Machine Learning Algorithms, Developed a predictive model that estimates crop prices based on previous yield data and quality predictions from images. Utilized a ResNet architecture for image quality assessment and a Gradient Boost algorithm for yield prediction. This model enhances agricultural decision-making by providing accurate and data-driven price forecasts.
• Sentiment Analysis of Hotel Reviews, A sentiment analysis project on hotel reviews was implemented using Python and NLTK. This project involves preprocessing data such as cleaning, tokenizing, eliminating stop words, lemmatizing and then running through trip advisor data for reviews. NLTK's VADER sentiment analyzer was used to assign polarity scores to the reviews thereby classifying them into positive, negative or neutral sentiments. The customer sentiments were summarized with bar and pie charts that provide an understanding of what customers think about their services. Furthermore, there is also an interactive Tkinter interface which allows users to search specific customer reviews and view the dynamic sentiment scores.