Daksha Rongala

I am a self-motivated professional who successfully manages multiple concurrent projects. I have experience in developing applications and features for the sector. I am an innovative professional willing to work hard to drive business success.

• Jarvis - AI Voice Assistant: It is a Python-based assistant that executes voice commands to open applications, provide weather updates, and manage tasks using OpenAI’s API It enhances user interaction by offering real-time responses and seamless functionality.
• Screen Brightness Control: This project uses computer vision and mediapipe to adjust screen brightness based on hand gestures. Built with Python, it calculates the distance between the thumb and index finger to increase or decrease brightness, providing an intuitive and hands-free way to control screen settings.
• QuizMe: QuizMe is a web application that allows user to participate in quizzes on various topics, different subjects, in different levels of difficulty. Very interactive and user friendly.
• Keeper - Notes Application: This is a web-based notes manager built with NodeJS and ExpressJS. It allows users to create, view, and delete notes, with each note stored as a text file on the server. The app features a simple, responsive interface, supporting seamless note-taking and file management.
• Heart Disease Detection with Machine Learning: This project aims to develop a machine learning model for the detection of heart disease. By analyzing various medical attributes and historical data, the model predicts the likelihood of a patient having heart disease.
• FIFA World Cup Predictions: This project aims to predict the outcomes of matches in the FIFA World Cup 2022 held in Qatar using machine learning techniques. By analyzing historical match data, team statistics and other relevant factors, the project attempts to forecast the results of upcoming matches in the tournament.
• Real Time Stock Market Dashboard: Developed an interactive Stock Market Dashboard using Streamlit, yFinance, Matplotlib, and Plotly for real-time stock analysis. It features historical data visualization, Moving Averages (MA100, MA200), Candlestick Charts, and a Bootstrap-styled UI for a seamless user experience. This project highlights my expertise in financial data analytics, interactive dashboards, and intuitive data visualization.

• Finished Top 5 out of nearly 50 teams in the Yantra’25 SharkTech Hackathon and Top 7 in the Yantra’24 AlgoArena Hackathon. It was an intense and rewarding experience.
• I earned a Platinum Level 2 badge for my performance during the TechBairn Machine Learning Workshop.
• Scored 20,479 rank in the JEE Advanced examination and a 96.6%ile in the JEE Mains Examination.