AI integrations, custom chatbots, NLP pipelines, and ML model development for real-world use.
Featured in 3 builds
Price on request
Quoted per project — depends on scope

AI-Powered Human Intelligence Assessment Tool
Full-stack AI-powered career assessment platform (DHITI – dhiti.ai) built with Next.js and TypeScript. Firebase backend, OpenAI APIs for AI-based career analysis, optimized API caching, and secure Razorpay payment integration for fast performance and reliable transactions.
The services that built DHITI.
AI integrations, custom chatbots, NLP pipelines, and ML model development for real-world use.
Featured in 3 builds
Price on request
Quoted per project — depends on scope
End-to-end SaaS platforms with subscription billing, multi-tenant architecture, and admin dashboards.
Featured in 1 build
Price on request
Quoted per project — depends on scope
Full-stack web applications, dashboards, portals, and internal tools built for performance and scale.
Featured in 5 builds
Price on request
Quoted per project — depends on scope
The case study behind the build.
DHITI (dhiti.ai) is an AI-powered human intelligence assessment platform that helps students and young professionals make career decisions. It profiles each user's traits, tests their judgment through real-world scenarios, and turns the results into a personalised career plan, replacing one-size-fits-all counseling with data-driven guidance.
Career counseling in India is largely inaccessible, expensive, and generic. Students receive the same advice regardless of their individual strengths, interests, or market realities. Existing digital tools were essentially static questionnaires with no real intelligence behind the recommendations.
As Lead Software Developer, built the full-stack platform with Next.js and TypeScript, styled with Tailwind CSS and Tailwind UI. Firebase powers the backend, and OpenAI APIs generate the AI-based career analysis. Optimized API caching keeps responses fast and avoids redundant AI calls, and Razorpay handles secure payments across a smooth, end-to-end user workflow.