Graduate Capstone Project with Molon Labe Aircraft Seating, focused on designing the Freedom Seat—a revolutionary aircraft seating solution that allows wheelchair users to travel comfortably in their own chairs, enhancing accessibility in air travel.
Design for Manufacturing Course Project: The Automated Vertical Bike Storage project emphasized space efficiency and manufacturability with snap-fit features, reduced parts, and optimized assembly.
Mechatronics and Robotics Course Project: The Robot Tank project was developed for a competition based on the game Tanks, focusing on designing an autonomous robot with enhanced mobility, precise targeting, and efficient system integration.​
Worked on to build an ATV for the national-level competition BAJA SAE India. Designed and optimized front double wishbone and rear H-arm suspension systems for an all-terrain vehicle. Conducted kinematic analysis using Lotus Shark Suspension Analyzer and validated components with FEA for stability, maneuverability, and durability in off-road conditions.
Optimal Design Course Project: Worked on handwritten character recognition using Support Vector Machines (SVM) applied to the MNIST dataset. The project included preprocessing image data, feature engineering, and constructing hyperplanes to classify handwritten digits with maximum margin separation. Utilized a Directed Acyclic Graph (DAG) approach for multi-class classification, achieving high accuracy while significantly reducing computation time through parallel processing techniques.
Automated Mechanical Design Synthesis Course Project: Focused on FEA and Topology Optimization (ANSYS) to reduce the weight of an aircraft tray table by 19.2%, enhancing fuel efficiency while ensuring manufacturability and FAA compliance.
Design for Manufacturing Course Project: The Reverse Engineering project focused on redesigning a hair clipper to improve manufacturability, reduce parts, and enhance assembly efficiency.
Worked on the FSAE project to build a Formula Student car for the national-level competition Formula Bharat and the international competitions Formula Student Germany and Austria, focusing on designing and optimizing the suspension system for weight reduction, enhanced handling, and manufacturability to meet rule book.
Optimal Design Course Project: Optimized the topology of a complex 11x20 grid truss structure with 24,090 possible elements using linear programming to minimize internal forces and member lengths. Developed and applied a mathematical model to improve load distribution accuracy, achieving a structurally efficient design with significantly reduced material usage while maintaining performance criteria.
Undergaduate Capstone Project: Developed and fabricated an automated sorting machine capable of classifying objects based on color using a TCS230 color sensor and Raspberry Pi. Designed key mechanical components, including conveyor systems and sorting mechanisms, and utilized SolidWorks for CAD modeling. The machine demonstrated efficient and cost-effective sorting capabilities, with potential applications in food processing, agriculture, and recycling industries.
