PROJECTS

Driven by an unyielding passion for computer science, I have embarked on a diverse range of projects that showcase my versatility in Full Stack Development, Artificial Intelligence, and Mobile Development. From optimizing user engagement systems to pioneering innovations in AI and Blockchain, my work reflects a commitment to transforming complex challenges into seamless, user-friendly solutions.

Vaibhav Bhajanka

MarketPulse: Dynamic Stock Insights

Developed a stock application using Angular and Node.js, delivering real-time data and trading features. Deployed on Google Cloud with MongoDB Atlas, ensuring high availability and data consistency. Features a responsive interface with autocomplete and interactive charts, and an efficient backend leveraging Finnhub and Polygon.io APIs.

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Vaibhav Bhajanka

Sentiment Analysis Classifier

Built a sentiment analysis classifier with Python, PyTorch, and NLP to analyze Amazon reviews. Leveraged PyTorch data loaders for efficient training and achieved high accuracy with CNNs. Enhanced the model using pretrained and custom Word2Vec models. Reduced overfitting with dropout and regularization techniques.

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Vaibhav Bhajanka

Trilicious

Launched a POS/Digital Menu app, forming partnerships with multiple restaurants and engaging a wide customer base. Improved transaction efficiency with Razorpay API, minimizing cash handling issues. Leveraged Firebase analytics for data-driven business insights. Enhanced customer experience with WhatsApp integration, providing real-time order updates.

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Vaibhav Bhajanka

Houseskape

Collaborated with a high-performing team to architect a house rental application, reducing loading time through code optimization. Implemented a notification system with Firebase Messaging, significantly decreasing complaints about spam texts/calls. Conducted market research to enhance user interactions by adding features and streamlining navigation.

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Vaibhav Bhajanka

University Wide Initiative: TrojanSecure App

Spearheaded the development of TrojanSecure app proof-of-concept designed to elevate information security awareness at USC. Integrating the 'Have I Been Pwned' API, TrojanSecure alerts users about data breaches and offers interactive learning through quizzes and gamification to promote continual engagement in cybersecurity practices. Tailored for USC faculty, students, and staff, the app also provides timely notifications about cybersecurity events and webinars, ensuring the community remains informed and vigilant. Development of this groundbreaking app will continue in the upcoming semester.

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Vaibhav Bhajanka

Springer Publication: A Study on Smart Contract Security Vulnerabilities

Blockchain enables secure, decentralized communication and transactions without a central authority by leveraging concepts such as decentralization, immutability, and consensus. This research paper explores various categories of vulnerabilities in blockchain technology, including Denial of Service with Failed Call, Randomness using ‘Block Hash’, and Transaction Ordering Dependency. It also discusses preventive measures and detection tools to enhance blockchain security, with a focus on the emerging application of Smart Contracts.

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Vaibhav Bhajanka

Gold Medallist: Bachelor of Technology in Computer Science & Engineering

Awarded the prestigious Gold Medal and Merit Scholarship for four consecutive years in recognition of outstanding academic excellence. This honor was bestowed for consistently achieving top grades, demonstrating exceptional knowledge and skills in Computer Science Engineering.