Work

Products and projects that show how we engineer. Each case study states the problem, our approach, the technology and where the work stands today. We don't publish results we can't evidence.

Case studies

  1. PROJECT 01EduLynx ERPThe problemSchools run attendance, fees, examinations and parent communication across registers, spreadsheets and messaging apps.The systemA multi-tenant school management platform with an AI operations assistant, built and operated by KrisLynx.The engineeringModelled the full student lifecycle, from admission to graduation, as the core record every module shares.The resultLive at erp.edulynxerp.in with published pricing and demo requests open.TechnologyMulti-tenant web platform · JWT + TOTP MFA · Role-based access control
  2. PROJECT 02Trade classification assistantThe problemClassifying goods under the Harmonized System and working out duties and applicable trade agreements is slow, specialist work.The systemAn AI-assisted tool to help businesses classify goods and understand tariffs and trade agreements.The engineeringTreat HS code discovery as decision support: suggest candidate codes with reasoning, and leave the final choice to the user.TechnologyPython · PostgreSQL · AI-assisted search and classification
  3. PROJECT 03SelfMateThe problemWellbeing apps tend to either collect a lot of personal data or give generic advice.The systemExploring a privacy-first digital twin that helps people understand their routines, stress and wellbeing.The engineeringStart from user-controlled data: the person decides what is collected and can remove it.TechnologyLarge language models · Privacy-preserving data design · Mobile and wearable integration (future scope)
  4. PROJECT 04FearLinkThe problemIn an emergency, a person may not be able to unlock a phone and call for help.The systemWearable research into detecting acute fear and stress from physiological signals to support personal-safety alerts.The engineeringStudy real-time biometric signals associated with fear and stress responses.TechnologyEmbedded systems · Edge AI · Biometric signal processing

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