
It is aimed to be available to all aviation body regulators.. The existing products in the market are limited to hanger inspection with LLM tools. Our only competitor is Airbus only available on limited aircraft. It has also limited application in military. The idea came as response to increased minor incidents and major air crashes during last 12 months. By introducing this idea, we are aimed at enhancing more safety as none of the planes are monitored from outside during taxi, takeoff and landing by anyone. We are introducing this idea as the first head start, it acts as a report not only for safety inspectors, audit and aircraft engineers. Each aircraft is analyzed in depth in video and the reported and automated grading are generated at the ending to determine whether the aircraft needs no check, minor inspection, minor repairs or major repairs in case of grounding. This acts as a guide for airports/airline staff to make decisions
7 Feb 2026

Mariam Neuro AI aims to provide health guidance and giving them a second chance to increase their life expectancy by providing risk and mitigation health plan to patients with certain conditions, symptoms and patient family history. The app reads the patient's health data and using it's medical context, generates a health and analysis plan in the following ways: Probability of getting a brain diseases, cancer, medications, medication and treatment plan, frequent visit to doctors, diet and exercise plan, mental health advice, treatment plan and risk status etc. Patient's data will adhere to HIPPA laws and regulations. It's competitors include ML models diagnosis and disease prediction apps.
7 Aug 2024

It's a cutting edge Generative AI app that automates the reports of aircraft exterior part damages by identifying the parts that have damage, analyzing the detail through a camera installed at every aircraft stand or gate and then generating a report that includes the description and details of an aircraft such as aircraft type, airline, list of exterior part damages, description about damages, total repair costs and status outcome which consists of three levels: green, yellow and red. Green means that the aircraft is safe and ready to fly, yellow is minor damages and may need some repairs and the aircraft flight may be delayed by several hours and red means major damage and may be repaired and grounded and the flight may be replaced by stand by aircraft. The protoype is set to replace existing reporting systems such as Airbus SRM system and other internal reporting systems developed by airlines and airport companies. It is powered by Gemini model developed by Google and Streamlit as a frontend. It also has Chat AI Aircraft Assistant to provide general information about exterior part damage. Users are ground aircraft engineers, maintenance aircraft engineers, pilots, gate managers and cabin crew. India, KSA, UAE, UK and USA are best markets to test out prototype.
4 Jul 2024