Niteen kumar
Full-Stack Dev building SaaS, dashboards & AI apps
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Niteen is ready for their next project!
EstateSerenity is a high-performance cross-platform mobile application built to digitize end-to-end PG and co-living operations. It empowers PG owners with automated rent tracking, real-time bed inventory allocation, passwordless 1-tap onboarding, and a privacy-first tenant reputation check system.
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Student AI is an interactive AI-powered learning platform designed to help students learn concepts in a conversational and personalized way.
The platform allows students to directly chat with an AI tutor, ask questions, and receive contextual, easy-to-understand explanations — making learning more engaging and adaptive.
I built this system using a Retrieval-Augmented Generation (RAG) architecture, combining LLM capabilities with structured educational content to ensure accurate and relevant responses.
Key features include:
• AI-powered chat interface for real-time learning and doubt solving
• RAG-based system to fetch and ground responses in relevant study material
• Integration with multiple LLMs (Gemini, Ollama) for flexible AI workflows
• Real-time communication using sockets for smooth chat experience
• Image-based understanding and responses (visual learning support)
• Context-aware conversations with session memory
• Scalable backend for handling multiple concurrent users
The system is designed to go beyond generic AI chat by providing structured, curriculum-aware responses tailored for students.
Tech Stack:
React / Next.js, Node.js, Socket.IO (http://Socket.IO), RAG pipeline, Gemini API, Ollama, vector-based retrieval
Student AI aims to make learning more accessible, interactive, and personalized — acting as a 24/7 intelligent tutor for students.
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iScuela Connect is a mobile-first school management application built to streamline communication and operations between students, teachers, and administrators.
I worked on developing and scaling the application using React Native, ensuring a smooth, responsive, and reliable experience across Android devices. The app is currently live on the Google Play Store and actively used by thousands of students.
Key features include:
• Role-based access for students, teachers, and administrators
• Structured content delivery for academic materials and updates
• Assignment and progress tracking system
• Real-time communication and notifications
• Clean, intuitive UI designed for daily student usage
• Scalable architecture to support large user base (5L+ users ecosystem)
The focus was on performance, usability, and building a system that works reliably even under high user activity.
Tech Stack:
React Native, TypeScript, API integrations, role-based architecture
Live App:
[Add Play Store Link Here]
iScuela Connect is designed to digitize school workflows and create a connected learning environment where communication and access to information are seamless.
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NavisLane is a modern fleet management platform designed to streamline operations, improve visibility, and optimize logistics for transport businesses.
I worked on building a scalable, real-time system that allows businesses to track vehicles, manage drivers, and monitor operations from a centralized dashboard.
Key features include:
• Live GPS tracking of vehicles with real-time updates
• Driver and fleet management with structured workflows
• Trip management system with status tracking and history
• Smart dashboards showing operational insights and performance metrics
• Role-based access control for different user types (admin, operator, etc.)
• Scalable backend APIs for handling large datasets and real-time updates
The system was built with a focus on performance, clean architecture, and usability, ensuring smooth operation even with multiple active vehicles and users.
Tech Stack:
React / Next.js, Node.js, PostgreSQL, real-time data handling (Socket-based)
NavisLane is designed not just as a tracking tool, but as a complete operational system to help logistics businesses run more efficiently and make data-driven decisions.
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Built an AI-driven reporting tool that allows users to ask questions in natural language and receive structured, section-wise reports generated from large-scale datasets.
The system processes user intent, maps it to relevant data sources, and generates clean, readable outputs, improving data accessibility and decision-making.
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