Hello, I'm
Mounika Bhupani

◦ Launched automated bus scheduling system utilizing Node.js, Express.js, MongoDB, CSS, and Bootstrap, adhering to MVC architecture, which improved on-time arrival rate by 15% across all routes
◦ Integrated an edit feature for manual adjustments, enhancing scheduling flexibility and control, resulting in a 50% reduction in scheduling conflicts.

◦ Built a financial tracking system using ReactJS, Node.js, Firebase, Chart.js, and Bootstrap for expense logging, savings goals, reports, and data visualization.
◦ Enabled secure, one-click authentication via Google Sign-Up, decreasing user login time by 60% and boosting successful logins by 35%, leading to a more streamlined onboarding experience.

◦ Designed a malware classification system using Python, TensorFlow, and PyTorch, leveraging ResNet50 (99% accuracy), CNN (94.60% accuracy), and MobileNetV2 (Train Accuracy: 96.58%) for improved detection.
◦ Achieved 99% accuracy with ResNet50, significantly enhancing overall classification performance and reliability on the Malimg dataset.

◦ Created an image recognition system with ReactJS, Flask, Bootstrap, and deep learning models to identify medicinal plants, displaying names, uses, and descriptions.
◦ Trained a CNN model, achieving 95% accuracy in medicinal plant identification, improving the efficiency of plant classification.

◦ Established a job portal using Node.js, Express.js, CSS, and MongoDB, reducing manual job searching time by 50% and streamlining employer-job seeker connections.
◦ Enabled companies to post job listings and manage applications efficiently, optimizing the hiring process and improving user experience.