Projects using Next.js in Tamil NaduProjects using Next.js in Tamil Nadu
Cover image for Sojourn AI — Cinematic Travel
Sojourn AI — Cinematic Travel Memory Platform Sojourn AI transforms a travel dream or emotional feeling into a full cinematic campaign — persistent, evolving, and beautiful. Describe your journey in one sentence. Sojourn builds a complete visual universe: a cinematic poster, 4 documentary-style daily itinerary frames, 3 polaroid memory snapshots, and a video trailer — all wired together as a connected Melius workflow. What makes it different: the canvas doesn't reset. Every follow-up prompt evolves the SAME cinematic universe using node_update instead of regenerating from scratch. "Make it rainier." "More hopeful ending." The world deepens over time. --- How I built it --- • Built a FastAPI backend that orchestrates the full Melius workflow via MCP • Used 7 node types: custom_text (source prompt), text (director/outline), image ×5 (poster + itinerary days + polaroids), video (trailer) • Connected all nodes with edge_create / bulk_create_edges to form a proper directed graph — source → director → parallel branches → trailer • Used canvas_plan_layout before node creation so the canvas renders as a clean visual workflow • Wired Gemini as the creative director layer to structure prompts into cinematic directions before Melius generation runs • MongoDB persists conversationId ↔ canvasId ↔ projectId so every session continues the same canvas • Deployed full-stack with a Next.js cinematic frontend --- Feedback on Melius --- The MCP server is genuinely powerful for agentic workflows — bulk_create_edges and canvas_plan_layout are underrated tools that made the parallel graph structure possible. The ability to update nodes instead of regenerating is what unlocked the "persistent universe" concept entirely. Project link: https://sojourn-melius.vercel.app (https://sojourn-melius.vercel.app/)Screen recording and Canvas screenshot
3
314
Cover image for VitaCare🚀 

1. Immutable Health Records
VitaCare🚀 1. Immutable Health Records (Blockchain & AES-256 Encryption) I moved beyond standard database storage to build a Tamper-Proof Medical Ledger. I learned how to implement a hybrid storage strategy where sensitive patient data is encrypted via AES-256 at the application layer before being anchored to a blockchain. This taught me how to ensure absolute data integrity, making medical histories immutable while providing a verifiable audit trail for every access request. 2. Privacy-First Consent Logic (Granular Data Sharing) Architecting the "Time-Limited Access" protocol taught me how to handle high-stakes privacy. I engineered a system where patients can issue temporary, scoped decryption keys to doctors via smart contracts. This taught me how to implement a Zero-Trust architecture, ensuring that healthcare providers only see what they need, exactly when they need it, with access automatically revoking after a set TTL (Time-To-Live). 3. Edge-Optimized Backend & Secure Validation By leveraging Supabase Edge Functions, I learned how to move critical business logic closer to the user while maintaining a "Thick-Client, Secure-Server" model. I architected isolated server-side environments for data validation and healthcare-specific compliance checks, which taught me how to drastically reduce latency in high-volume environments without compromising on server-side security. 4. Proactive Health Intelligence (Predictive Monitoring) I leveled up my AI integration skills by building an Advanced Command Center for Disease Surveillance. I learned how to aggregate anonymized, real-time data from disparate sources—including IoT wearable integrations—to generate heatmaps for disease outbreaks. This taught me the complexity of Geospatial Data Engineering and how to turn passive monitoring into proactive healthcare interventions. 5. Multi-Platform Synchronization (Unified Digital Ecosystem) Building a system that bridges Citizens, Doctors, and Government officials taught me the challenges of Cross-Stakeholder State Management. I learned how to maintain a "Single Source of Truth" across a multilingual Next.js web ecosystem and mobile interfaces, ensuring that a life-saving update on a doctor's portal is reflected on a patient's mobile dashboard in near real-time. 6. Inclusive Design & Localized Accessibility To tackle the diversity of the Indian healthcare landscape, I implemented a Multilingual UI Framework. I learned how to architect a scalable localization layer that supports regional languages, ensuring that the platform is accessible to rural citizens. This taught me the importance of Inclusive UX Engineering—where the technical complexity is hidden behind a simple, high-impact interface for non-technical users.
0
17