I am a tech passionate individual with a keen interest in AI and ML. I actively seek to gain knowledge and insights about various technologies. My enthusiasm has led me to participate in numerous tech seminars and hackathons, where I engage with like-minded individuals and explore innovative solutions. These experiences have honed my skills and deepened my understanding of the tech landscape.
CGPA:9.36
CMR College Of Engineering and Technology,Hyderabad,Telangana
CGPA:9.60
Sri Chaitanya Junior College,Hyderabad,Telangana
CGPA:9.80
Sri Chaitanya Techno School,Hyderabad,Telangana
C, C++, Java, Python
HTML, CSS, Bootstrap,JavaScript,LaTex
Pandas, Keras, numpy, MATLAB,Scikit-learn
SQL,MongoDB
Developed a language translation project using a tech stack that includes Keras for machine learning models, NumPy and Pandas for data manipulation, and Python as the primary programming language. This project focuses on efficiently translating text between German to English and English to German languages. Leveraging Keras, I implemented machine learning models to ensure accurate and contextually relevant translations. NumPy and Pandas handle data preprocessing and management tasks, ensuring efficient handling of linguistic data for both translation directions.
Developed a movie recommendation system using Python, Pandas, Scikit-learn, and Pickle, leveraging machine learning techniques for data processing and analysis. The system is designed to suggest movies based on user-selected preferences, enhancing personalized recommendations. The project utilizes a dataset comprising 5000 movies collected from Kaggle, encompassing various attributes such as genre, ratings, and reviews. Using Pandas, I performed extensive data preprocessing to clean and organize the dataset for effective analysis. Scikit-learn's machine learning algorithms were employed to build recommendation models, which were serialized using Pickle for efficient storage and retrieval. This project not only demonstrates proficiency in data handling and machine learning but also showcases practical applications of recommendation systems in enhancing user experience
Designed and developed 'She Strong', a website using HTML and CSS, dedicated to empowering female entrepreneurs. This platform serves as a centralized hub where women can find resources, support, and inspiration for their entrepreneurial journey. The website features a user-friendly interface with sections highlighting success stories of female entrepreneurs, practical business tips, and community forums. Through clean and responsive design principles in HTML and CSS, 'She Strong' aims to empower women in business and foster innovation.
NoteHaven is a web-based note-taking application that allows users to create, view, and manage notes efficiently. Developed with Node.js, Express.js, and MongoDB, it ensures robust performance and secure data handling. The application features intuitive note management capabilities and a responsive design crafted with HTML, CSS, and JavaScript. NoteHaven's backend, built with Express.js, handles server-side operations, while MongoDB provides reliable data storage. Deployed on Vercel, the application benefits from a scalable and dependable hosting environment. Designed to enhance productivity, NoteHaven is suitable for both personal and professional use, offering a seamless and user-friendly experience across various devices.
Participated in Project Expo (MICROCOSM-2023) organized by Mahatma Gandhi Institute of Technology (MGIT) and secured the 2nd position.
Shortlisted for Final Stage of Assessment of YUKTI Innovation Challenge 2023 for Funding Assistance and Incubation Linkage Support from MoE’s Innovation Cell AICTE.
Academic Topper Second Year B.Tech-Stood among the top three in the Computer Science Department,CMRCET.
Participated in Hackathon(HEXATHON) conducted by Hexagon company.