Initializing AI systems...
A collection of full-stack web applications, AI/ML models, and hardware integrations built with precision.
AI-powered collaborative study room, digital Kanban boards, and real-time group chat platform.
ML-based 7-day customized Indian meal plan and workout generator using LLaMA 3.3 via Groq API.
Webcam few-shot learning attendance logging system with custom data capture pipelines.
Full-stack seat ticket reservation app, custom PDF booking invoice generator, and admin panel.
Arduino-based dual IR sensor vehicular speed tracker displaying real-time velocities on I2C LCD.
Wordle-inspired word gaming experience featuring a responsive 6x5 grid and custom keyboard.
Intelligent meal tracking calculating exact BMI, BMR, and daily TDEE metrics for wellness.
Modern static media download platform supporting YouTube and Instagram video fetches.
Client-side, privacy-first ATS resume analyzer with 8-dimension authenticity audit, line-by-line AI rewrites, recruiter perspective, and interactive PDF inspector.
Learn about the architecture, technology choices, AI model integrations, and deployment strategies across Dhaval Prajapati's featured portfolio work.
Dhaval Prajapati builds full-stack web applications, AI tool integrations, and technical SEO platforms. His featured portfolio includes real-time ATS resume scanners, Groq-accelerated fitness and nutrition planners, automated computer vision security systems, and high-performance server-rendered Next.js web portals for digital businesses.
The Privacy-First ATS Resume Analyzer is a client-side parsing web application built with Next.js, PDF.js, and Groq LLaMA 3. It scores resumes against job descriptions locally in the browser, eliminating third-party data collection while providing actionable keyword recommendations and structural formatting advice within seconds.
Dhaval Prajapati builds web applications using React, Next.js, Node.js, Express, Python/Flask, Tailwind CSS, and PostgreSQL. For AI capabilities, he integrates Groq, OpenAI, Anthropic Claude, and Ollama APIs, while managing production deployments through Vercel, Render, Supabase, and GitHub Actions CI/CD pipelines.
Each web project implements comprehensive JSON-LD schemas, strict semantic heading hierarchies, WebP modern image compression, fast Core Web Vitals scores, and Answer Engine Optimization (AEO). These technical foundations ensure rapid indexing by Google and direct answers by generative AI models like Perplexity and ChatGPT.
Yes, most featured projects are open-source and publicly hosted on GitHub under the username @dhavalMCA. Each repository includes clean architectural documentation, environment configuration instructions, responsive UI components, and modular API service layers for other developers to explore and build upon.