Real projects, real results. Explore how we've helped businesses across education, legal, restaurant, and retail industries solve complex problems with custom software. Each case study details the challenge, our approach, and the measurable outcomes delivered.
Education & EdTech
AI-Powered Student Career Guidance Platform
Built an end-to-end student assessment and career guidance platform that uses AI to analyze exam results and recommend personalized career paths for students across schools in Jammu & Kashmir.
📅 4 months💻 Mobile App + Backend
🎯The Challenge
Schools in rural Jammu & Kashmir lacked any structured career guidance system. Students completed exams without understanding how their strengths mapped to potential careers. Teachers had no tools to track student progress or provide personalized recommendations. The existing paper-based system was slow, inaccurate, and unable to scale across multiple schools.
💡Our Solution
We developed Aimify — a comprehensive Flutter-based mobile application with a Supabase backend. The platform features psychometric exam engines, AI-powered career analysis using Google Gemini, real-time progress dashboards, school-level admin controls, and a premium subscription system. Students take structured assessments, and the AI generates detailed career path recommendations with actionable next steps.
📊Results & Impact
Deployed across multiple schools in Jammu & Kashmir
Students receive personalized AI career suggestions in under 30 seconds
School admins can enroll students and track progress in real-time
Premium subscription model with school-level B2B pricing
Offline-capable mobile app works in areas with poor connectivity
Intelligent Legal Research Assistant for Indian Lawyers
Created a multi-agent AI legal workspace that helps Indian lawyers research case law, draft documents, and manage matters — integrating with the Indian Kanoon API for real-time case law access.
📅 3 months💻 Web Application
🎯The Challenge
Indian lawyers spend hours manually searching through case law databases to find relevant precedents. Legal research is time-consuming, expensive, and requires expertise to find the right citations. Small law firms and solo practitioners struggle to compete with larger firms that have dedicated research teams. There was no unified platform that combined research, drafting, and matter management with AI assistance.
💡Our Solution
We built AI Law — a Next.js web application with a MongoDB backend that integrates the Indian Kanoon API for real-time case law search. The platform features multi-modal document upload (text, photos, PDFs, voice), AI-powered case summarization using Google Gemini, automated risk review, document drafting with legal templates, and a unified matter workspace. A persistent caching layer reduces API costs by storing previously searched results.
📊Results & Impact
Legal research time reduced by up to 70% compared to manual search
Multi-modal intake supports text, photos, PDFs, and voice uploads
Persistent cache layer reduces Indian Kanoon API costs by 60%
AI generates case summaries, risk assessments, and draft documents
Unified matter workspace keeps all case materials organized
Self-Service Kiosk with Tap-to-Pay & Stripe Integration
Developed a Flutter-based self-service kiosk application with Stripe Terminal integration for tap-to-pay, real-time Firebase synchronization, and thermal printer support for receipts.
📅 5 months💻 Kiosk Application
🎯The Challenge
Restaurant and retail businesses needed a modern self-service kiosk solution that could handle tap-to-pay payments on Android devices without traditional POS hardware. The existing POS systems were expensive, required dedicated hardware, and couldn't support the SUNMI FLEX 3 devices the client wanted to deploy. The solution also needed to work with connected Stripe accounts for multi-merchant payment routing.
💡Our Solution
We built a complete Flutter kiosk application with native Android bridge for Stripe Terminal tap-to-pay integration. The app features Firebase Realtime Database for vendor configuration with optimized WebSocket connections (replacing costly REST polling), Stripe Connect for multi-merchant payment routing, thermal printer support via native ESC/POS commands, and a responsive menu display system. The architecture uses eager background initialization to minimize payment latency.
📊Results & Impact
Payment processing in under 2 seconds with tap-to-pay
Firebase costs reduced by 80% via WebSocket optimization
Multi-merchant payment routing with Stripe Connect
Built an AI agent that handles restaurant orders through WhatsApp, managing menu browsing, cart operations, and payment generation — all through natural conversation.
📅 3 months💻 AI Agent + API Integration
🎯The Challenge
Small and medium restaurants lacked the technical infrastructure to offer online ordering. Third-party delivery platforms charged 20-30% commissions that ate into margins. Customers wanted to order through WhatsApp — the most popular messaging app in India — but restaurant owners had no way to automate the process. Manual order taking through WhatsApp was error-prone and couldn't scale during peak hours.
💡Our Solution
We developed an AI-powered WhatsApp Business agent integrated into an existing Laravel-based platform. The agent uses function-calling capabilities to handle menu browsing, cart management, order placement, and payment link generation — all through natural language conversation. The system includes a WhatsApp-style dashboard for monitoring and a human-in-the-loop feature for manual takeover when needed. The AI handles multi-turn conversations, remembers context, and can process orders in English and Hindi.
📊Results & Impact
Orders processed via WhatsApp without third-party commission fees
AI handles 85% of orders without human intervention
Supports multi-language ordering (English and Hindi)
Human takeover feature for complex requests
Payment links generated and sent automatically via WhatsApp
Technology Stack
LaravelWhatsApp Business APIOpenAI GPTMySQLPHPStripeMeta Cloud API
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