Campus Trackis an AI-based face recognition system designed to enhance campus security and streamline attendance tracking. It accurately detects and identifies students, logs their entry and exit times at key locations, and stores data in CSV format for movement pattern analysis. The system also features dynamic counters to track unique and unknown faces, a user-friendly web interface to retrieve movement data by roll number and date, and emergency sign detection for real-time alerts in case of predefined hand gestures.

JNTUH NavigationJNTUH Navigation is an interactive website designed to enhance the campus experience at Jawaharlal Nehru Technological University Hyderabad (JNTUH). It provides a simple, user-friendly directory of all major campus buildings, integrates with Google Maps for real-time navigation, and is fully mobile-friendly and responsive. The website was proudly used during JNTUH's Orientation 2024 to help new students and their parents navigate the campus with ease.

We developed a predictive framework to analyze negative price events and recovery in European energy markets, using SARIMA, LSTM, and XGBoost, with a focus on Denmark due to its high occurrence of negative prices. The framework enhanced model performance by engineering time-based and price-based features like COSINE&SINE hour. The LSTM model achieved the best forecasting accuracy (R²: 0.92, RMSE: 16.72) and identified key factors influencing negative prices, such as weekdays, renewable energy availability, and cyclical patterns.

Swedish to English Flashcard helps with learning Swedish vocabulary using a flashcard-based application built with Python's Tkinter library.Displays Swedish words and their English equivalents.Enhances learning through a timed flashcard flip.Data-driven with randomization for vocabulary retention.