Bhavana Gutta
AI Developer building modern web apps & ML solutions
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Developed an AI-driven Alzheimer’s disease prediction platform using deep learning and MRI image analysis. The system provides prediction results, confidence scores, and analytics dashboards for early-stage disease detection and healthcare insights.
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Built an AI-powered recruitment analytics dashboard that streamlines hiring workflows with candidate tracking, AI scoring, hiring analytics, and modern dashboard visualizations. Designed for scalability, usability, and real-time insights.
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Designed and developed a modern AI developer portfolio website with a clean UI/UX, responsive layout, interactive sections, and project showcases. Focused on performance, branding, and visually engaging user experiences using modern frontend technologies.
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AI Developer Portfolio Website
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Developed VisaHire.ai (http://VisaHire.ai), an AI-powered recruitment and hiring platform designed to streamline candidate screening and job matching using intelligent analytics and automation.
Built a modern admin dashboard for managing applications, tracking hiring performance, analyzing candidate data, and monitoring recruitment metrics in real-time.
Features include AI screening insights, analytics dashboards, candidate shortlisting, job management workflows, and interactive data visualization for smarter hiring decisions.
Designed with a scalable full-stack architecture and modern UI/UX principles for startup-level SaaS performance.
Technologies used: Next.js, React, Python, Tailwind CSS, PostgreSQL, and Machine Learning integrations.
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Developed an AI-powered Alzheimer’s disease detection platform using deep learning and MRI image classification techniques.
The application analyzes brain MRI scans and predicts Alzheimer’s severity levels with high accuracy using CNN-based architectures and real-time prediction workflows.
Built a modern interactive dashboard displaying confidence scores, probability distribution, and AI-generated diagnostic insights through a responsive web interface.
Features include MRI preprocessing, CNN model integration, real-time prediction analytics, and healthcare-focused AI visualization.
Technologies used: Python, TensorFlow, PyTorch, React, Next.js, and Computer Vision.
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Designed and developed a modern AI developer portfolio showcasing machine learning projects, healthcare AI research, and full-stack engineering experience.
Built with a futuristic UI/UX approach using React, Next.js, and modern frontend technologies to create a high-converting personal brand presence for clients and recruiters.
Features include responsive design, interactive project showcases, AI-focused branding, analytics dashboards, and optimized performance across devices.
Technologies used: React, Next.js, TypeScript, Python, TensorFlow, PostgreSQL, and AWS.
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Developed an AI-powered Alzheimer’s disease detection web application using deep learning and MRI image classification.
The system uses CNN-based models for identifying Alzheimer’s severity stages with high diagnostic accuracy. Built with a modern web interface for real-time predictions, confidence scoring, and interactive visualization.
Features include MRI preprocessing, AI classification pipeline, prediction dashboard, and performance analytics.
Technologies used: Python, TensorFlow, PyTorch, React, Next.js, and Machine Learning workflows.
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