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Tech Stack: Streamlit • Python • Scikit-learn • Pandas • Joblib An interactive web app that predicts the likelihood of heart disease using a trained Logistic Regression model. Users can input medical parameters such as age, cholesterol, resting BP, ECG results, and exercise-induced angina to get real-time predictions. Tech Stack: Streamlit • Python • Scikit-learn • Pandas • Matplotlib • Seaborn An interactive web app that detects emotions in text using a TF-IDF vectorizer and a Logistic Regression model. Tech Stack: Next.js • TypeScript • JavaScript • Tailwind CSS • shadcn/ui • Clerk • Firebase A comprehensive daily problem-solving platform featuring problem of the day solutions, user authentication, and admin dashboard for content management. |
Tech Stack: Next.js • TypeScript • Firebase • NLP • JavaScript Built a responsive AI-based interview platform with voice interaction, domain-based questions, and real-time feedback using NLP and Firebase. Tech Stack: Next.js • TypeScript • Tailwind CSS • Responsive Design Converted HTML website for Cool Air Enterprises into a modern, responsive Next.js application with professional branding and enhanced functionality. Tech Stack: Web • APK Conversion • PDF Generation • Digital Signatures Created a service report application with web-to-APK conversion, print functionality, automated PDF generation, and digital signature pad for enhanced workflow management. |
Currently Working On: Advanced AI Solutions & Full-Stack Applications
Exploring cutting-edge technologies and building innovative solutions.
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Research & Development Working on Document Verification using HSI Algorithm for detecting overlapping elements in scanned documents |
Continuous Learning Self-led full-stack development study focusing on scalable architecture, REST APIs, and deployment |
Innovation Building AI-powered solutions and exploring the intersection of technology and user experience |
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GitHub PRO Member |
Pull Shark ×3 Awards |
Published Researcher |
Academic Excellence |
Professional Experience |