Conducted a detailed analysis of the various resistive forces acting on electric vehicles under different operating conditions. The study focused on calculating and comparing aerodynamic drag, rolling resistance, and gradient forces across three electric vehicle types—Light Duty (LD) Car, Electric Bus, and Electric Truck—at varying speeds (50–80 km/h) and road inclinations (1°–3°).
Using physics-based equations and vehicle dynamics principles, the project analyzed how speed and gradient angle impact total resistive force, aiding in the optimization of EV performance and energy efficiency. The analysis was supported with graphical representations for better visualization and comparison.

Findings

• Higher speeds = more resistance, especially from the air.

• Steeper roads = more effort needed, especially for heavier vehicles.

Each vehicle type behaves differently under the same conditions 

• Conducted a survey-based study on the impact of personalisation and customer engagement on brand loyalty among Indian Netflix users.

• Applied statistical techniques such as Multivariate Analysis and ANOVA using data from 50+ respondents.

• Identified key variables (e.g., “Top Picks” feature, recommendation accuracy, satisfaction) that significantly influence brand loyalty.

• Found that the 18–24 age group shows stronger loyalty; recommended Netflix enhance personalisation for this segment.

• Delivered actionable insights for OTT platforms to improve customer retention through targeted engagement and culturally tailored recommendations.