🔴 The Problem

The hospital was operating on isolated legacy systems. Patient records existed in physical files or siloed databases — inaccessible across branches. Billing errors cost significant revenue monthly. There was no way for patients to access their own health history, and insurance claims took weeks to process manually.

💡 Our Solution

We engineered Health Connect Pro — a unified platform connecting all hospital branches. Patient records were migrated to an immutable Ethereum-based blockchain ledger, giving patients sovereign control of their data. An AI triage assistant screens incoming patients and suggests priority routing, cutting ER wait times significantly.

🛠 Technology

React Native (iOS + Android), Python/FastAPI backend, TensorFlow for AI model, Solidity smart contracts on Polygon, AWS ECS with auto-scaling, PostgreSQL + IPFS for hybrid storage.

📊 Results

🔴 The Problem

The school group managed attendance in registers, fee collection via manual receipts, and exam results on spreadsheets. With 12 branches and 8,000 students, coordination was a nightmare. Parents had zero visibility into their child's performance or fee dues, and admin staff spent hours on manual data entry every day.

💡 Our Solution

We built a unified School ERP covering student lifecycle management — admissions, attendance (with biometric integration), academics, fee collection, exam management, and a parent portal with real-time notifications. Staff could now manage everything from a single dashboard.

🛠 Technology

Next.js for the web portal, Node.js/Express backend, PostgreSQL for relational data, Redis for session management, Razorpay for fee collection, and a Flutter mobile app for parents and teachers.

📊 Results

🔴 The Problem

Devotees donating to temples had no way to verify how their money was being used. Temple trusts maintained physical ledgers with no public accountability. This led to donor distrust and declining contributions. There was no digital channel for remote donations or live festival streaming either.

💡 Our Solution

We built the Temple Tracker App — a Flutter mobile app where every donation is recorded as a blockchain transaction on Ethereum. Donors can track exactly how funds are allocated (renovations, rituals, charity). The app also features live darshan streaming, pooja booking, and festival reminders.

🛠 Technology

Flutter for cross-platform mobile, Firebase for real-time notifications and auth, Solidity smart contracts on Ethereum for donation ledger, IPFS for storing receipts and documents immutably, and Razorpay + crypto wallet integration for payments.

📊 Results

🔴 The Problem

The brand was on a slow Shopify template that crashed during sale events. Page load times exceeded 6 seconds, cart abandonment was at 78%, and there was no way to personalise the shopping experience. Their existing setup couldn't handle flash sales generating 10,000+ concurrent users.

💡 Our Solution

We rebuilt the entire storefront as a headless Next.js application with edge caching via Redis. AI-powered product recommendations were integrated using browsing history. The checkout flow was redesigned from scratch — 3 steps to 1. Stripe handled payments with full 3D Secure compliance.

🛠 Technology

Next.js 14 with App Router, Tailwind CSS, Stripe for payments, Redis for cart and session caching, Sanity CMS for product management, Vercel Edge for global deployment, and a custom recommendation engine in Python.

📊 Results

🔴 The Problem

The client wanted to launch a DeFi yield farming platform but had no blockchain expertise in-house. Existing DeFi protocols were gas-heavy on Ethereum mainnet, making it inaccessible for small investors. They needed audited smart contracts, a clean UI/UX, and a fast launch — all without sacrificing security.

💡 Our Solution

We architected CryptoVault on Polygon for near-zero gas fees. Smart contracts were written in Solidity and audited for reentrancy attacks, overflow bugs, and flash loan exploits. The React frontend connected via ethers.js with MetaMask and WalletConnect support. Liquidity pools, staking vaults, and auto-compounding were all shipped at launch.

🛠 Technology

Solidity 0.8.x smart contracts, Hardhat for testing and deployment, React with ethers.js for the dApp frontend, The Graph for indexing on-chain events, Chainlink for price oracles, and Polygon mainnet for deployment.

📊 Results

🔴 The Problem

Lawyers at the firm spent 4–6 hours reviewing a single contract — identifying risks, non-standard clauses, and missing provisions. Junior associates were overwhelmed, turnaround times were slow, and human error was a liability risk. The firm needed AI assistance without compromising confidentiality.

💡 Our Solution

We built LegalMind — an AI assistant that ingests uploaded contracts (PDF/DOCX) and runs them through a GPT-4 powered analysis pipeline. It highlights risky clauses, flags missing standard provisions, generates a plain-English summary, and suggests redlines. Everything runs on the client's private cloud — no data leaves their infrastructure.

🛠 Technology

Python with LangChain for the AI pipeline, GPT-4 via Azure OpenAI (private deployment), FastAPI for the backend, React for the document review UI, PyMuPDF for PDF parsing, and AWS PrivateLink ensuring zero data egress.

📊 Results