Dipal Patel
Full-stack dev crafting apps with Next.js, AI & Supabase.
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The goal of this project was to design and develop a user-friendly digital platform that simplifies the ketogenic lifestyle and makes it accessible for beginners while delivering real, measurable health results.
I worked on crafting a conversion-focused experience that translates complex nutritional science into an intuitive, easy-to-follow journey. The platform guides users from onboarding to goal achievement through personalized plans, smart tracking, and continuous support.
The solution includes a structured onboarding quiz, tailored meal plans, progress tracking, and educational content designed to help users adopt and sustain the keto lifestyle with confidence. Special focus was placed on personalization, usability, and motivation to ensure long-term engagement.
The result is a scalable, high-engagement platform that empowers users to lose weight, improve overall health, and build sustainable habits—supported by data-driven insights and a strong community-driven approach.
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It is an AI-powered corporate event management platform built to simplify the entire lifecycle of planning and executing professional events. From discovering and onboarding vendors to managing contracts and processing payments, everything lives in one unified system
The platform leverages AI to provide intelligent recommendations for vendors, venues, and budgets based on event type and historical data. Automation handles repetitive tasks like follow-ups, approvals, and deadline reminders, significantly reducing manual effort for event teams.
Built with scalability in mind, Planned is designed to handle everything from small corporate meetups to large multi-day conferences. The architecture ensures high performance across devices and deliver seamless event experiences every time.
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Wikifarmer needed a scalable, trust-driven digital platform to
connect thousands of agricultural suppliers with large global
buyers — eliminating the inefficiencies, price volatility, and
quality uncertainty that plague traditional supply chains.
I contributed to the end-to-end design and development of the
platform, integrating AI-powered features to enhance sourcing
intelligence — including smart supplier matching, dynamic pricing
insights, and automated quality assurance workflows. The platform
covers the full supply chain lifecycle: from harvest and packing
to shipping, logistics, and final delivery.
Key features built include a multi-category product marketplace
(olive oil, fruits, vegetables), a 360° logistics management
system, AI-assisted buyer-supplier negotiation tools, and a
transparent transaction layer ensuring security and accountability
for every order.
The result is a high-performing B2B marketplace that has
revolutionized agricultural sourcing for buyers and producers
across Europe and beyond — reducing procurement costs, improving
cash flow with net-30 financing, and delivering measurable gains
in supply chain efficiency and product quality.
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Eyevestor is a high-performance investment platform built with Next.js 16, optimized through server-side rendering and static generation for lightning-fast load times and strong SEO. The architecture is clean and scalable, designed to handle growing user demand without sacrificing speed or reliability.
The interface focuses on clarity and trust — fluid animations, smooth micro-interactions, and a fully responsive Tailwind CSS design ensure a polished experience across every device. Dynamic JavaScript components keep the UI snappy and engaging, making complex investment data feel intuitive and accessible.
Deployed on Vercel with edge-network delivery and zero-downtime deployments, Eyevestor is built to production-grade standards — a digital product that inspires confidence in every investor who lands on it.
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