Nama Bhanu

Engineered NutriGuide, an AI-driven web application generating personalized meal plans using Gemini API for natural language understanding. Implemented dynamic meal scheduling with macro breakdowns and visual analytics using Chart.js. Built custom modules like Mindful Eating Score and Food Doctor, integrating NLP for nutrition analysis and AI-generated recipes.

Developed CampusConnect, a MERN stack application to enhance campus communication and academic management. Implemented role-based access control using JWT for secure access, improving user data protection. Created real-time attendance tracking and exam results management systems, streamlining academic processes.

Designed a machine learning pipeline using CNN, achieving 92% accuracy in predicting age and gender from facial images. Built an advanced machine learning model encompassing data collection, preprocessing, development, and evaluation. Utilized Convolutional Neural Networks (CNN) for feature extraction and classification, optimizing model performance for high accuracy.

Grade: 8.3 CGPA

Currently pursuing a Bachelor of Technology in Computer Science and Engineering. Gained hands-on experience in web development and machine learning, with proficiency in MERN stack, Java, and Python. Developed a solid foundation in database management and scalable application development.

Grade: 97%

Completed intermediate education focusing on Mathematics, Physics, and Chemistry. Achieved a high percentage, demonstrating strong foundational knowledge in science and mathematics.

Grade: 10.0 GPA

Completed secondary education under the Board of Secondary Education. Achieved a perfect GPA, indicating strong academic performance across all subjects.