Solving problems that matter.

Ishaan Gupta  • Peerlist

<h3>Key Features:</h3><ul><li>AI-Powered Wellness Coach: Monitors eye health, posture, and stress in real-time using advanced AI and computer vision.</li><li>Eye Strain Detection: Analyzes visual biomarkers to calculate an 'Eye Score' and provides nudges to prevent discomfort.</li><li>Posture Correction: Assesses posture in real-time, detecting slouching and poor neck alignment, with a 'Posture Score' to track and improve habits.</li><li>Stress Detection: Utilizes AI and behavioral science to calculate a 'Calm Score' by detecting subtle facial expressions and movement patterns.</li><li>Screen Distance Monitoring: Measures and displays the live distance from the screen.</li><li>Ambient Light Monitoring: Alerts users to poor lighting conditions that may contribute to eye strain.</li><li>Guided Desk Exercises: Offers 2-minute guided exercises for eyes, neck, and shoulders when strain is detected.</li><li>Break Reminders: Prompts users to move at optimal times to reduce fatigue from prolonged sitting.</li><li>Screen Time Tracking: Specifically measures time spent looking at the screen.</li><li>Daily Wellness Check-In: Allows logging of daily feelings to track eye health, posture, and stress over time.</li><li>Customizable Preferences: Users can choose to track eyes, posture, stress, or all three.</li><li>Gentle Nudges: Smart, non-intrusive notifications to build healthier screen habits.</li><li>Privacy-Focused: All AI processing is done locally on the device; no video is recorded.</li><li>External Monitor Support: Compatible with multi-monitor setups.</li></ul>Lumina AI Wellness is designed for individuals who spend significant hours working on desktops, addressing common issues like dry eyes, neck pain, back ache, and stress. It provides personalized health scores and educational content, all while prioritizing user privacy by processing data entirely on the device. The app aims to help users fix their screen-time habits before damage accumulates, promoting a healthier and more productive work environment.For deeper insights into wellness and productivity, explore our educational blogs at https://www.wellnessatwork.ai/blog.

‎Lumina AI Wellness App

Autonomous and intelligent fleet management system for future AVs.

Autonomous Intelligent Demand-Side Management

Intel-ligent Enegy Management System

The main object of the project was to design a quadcopter for surveillance purpose and control it using a cellphone and get video feeds on to the phone itself.

Quadcopter for surveillance

The project objective was to make an automobile Center Console Smarter and User friendly. The main objective was to move all the buttons, levers, gauges available on the console of a vehicle to tablet or a smartphone.

Smart Center Console

An annual event emphasizing on the need for cleaner,smarter and alternate source of energy for mobility. The objectives of the project included: 1) CAD design of the single seater prototype 2) Material selection and manufacturing 3) Engine selection 4) Conversion of the Carburettor engine to Electronic Fuel Injection using EFI kits; engine tuning 5) Design and selection of driveline components and layout (clutch, shafts, speed reducer,shifter mechanism)

Shell Eco-Marathon

Currently, Carrots are mostly cultivated and harvested manually by subsistence farmers. Manual harvesting involves a lot of drudgery, hence with small-scale farmers in mind, a low cost vegetable harvester was designed and evaluated for performance in harvesting. The main components of the machine are the frame, the reciprocating blade and gripper which pull the vegetables out of the soil with a near vertical motion. The machine can be either rolled or a motor can be added and the forward momentum was provided by the pushing action of the operator. The performance of the harvester was evaluated using software such as SAM for analyzing the mechanism design and the 3D model was designed in Solid works. The result of the tests performed on the machine shows that it is appropriate for adoption by small scale farmers.

Design and Analysis of  “Mechanized Vegetable

Currently, Carrots are mostly cultivated and harvested manually by subsistence farmers. Manual harvesting involves a lot of drudgery, hence with small-scale farmers in mind, a low cost vegetable harvester was designed and evaluated for performance in harvesting. The main components of the machine are the frame, the reciprocating blade and gripper which pull the vegetables out of the soil with a near vertical motion. The machine can be either rolled or a motor can be added and the forward momentum was provided by the pushing action of the operator. The performance of the harvester was evaluated using software such as SAM for analyzing the mechanism design and the 3D model was designed in Solid works. The result of the tests performed on the machine shows that it is appropriate for adoption by small-scale farmers.