Published Papers

Deliberative democracy is often seen as a necessary complement to electoral democracy yet its ability to ensure the inclusive representation of female voices, especially in rural areas of the Global South, remains limited. This paper casts light on the Indian Mahila Sabhas, understudied female-only deliberation platforms, introduced in the world’s largest democratic system. It addresses the gap where empirical solutions to women’s involvement are often overlooked in favour of theoretical discussions in scholarship on deliberative democracy. As seen in the case study of Mahila Sabhas, females are often compelled to form femaleonly forums to ensure that gender-responsive policies are being catered towards. However, it calls for further research into comparative femaleonly frameworks and into their practical implementation in deliberative democracies highlighting both its benefits as well as limitations. 

Drinking water is one of the most important resources, making its efficient management a vital necessity in not just workplaces and hospitality venues but also in every single household. In Indian homes, water filtration systems ensure clean and safe drinking water, yet they have one disadvantage -they require frequent manual maintenance for day-to-day functioning. Inefficiencies such as water wastage, overflows, and dry tank scenarios can disrupt filtration performance and impact pump functionality. Despite advancements in technology, accessible and cost-effective automation solutions remain limited. This project aims to solve such challenges by developing an automated water level sensing and control system using Arduino-UNO. The system integrates a control module to monitor and regulate water levels dynamically, optimizing filtration efficiency while minimizing tedious and costly maintenance services. This paper details the system’s design, implementation, functionality, and demonstrates its potential to enhance the system. 

My project is an animatronic claw that can be controlled via Bluetooth. This robot can help less abled people with tasks that they struggle to complete as it is easy and efficient to use. The robot is lightweight, affordable and straightforward. It provides a service for those in need and proves itself to be an excellent aid to people worldwide. The robot connects through Bluetooth to any household device with the application “Dabble” and is maneuvered by a keypad with 8 buttons, each moving the arm in a different. The robot stands on a board to ensure stability and can be easily transported as it is powered by a power bank. This way, people who may have trouble moving their arms can control a fully functioning claw with a 360° reach through a simple keypad, thus lessening the movement required, and simplifying their lives. 

The aim of this paper is to identify the potential of using Machine Learning algorithms to predict exoplanet habitability through publicly available datasets. An initial dataset of more than 5000 observations was analyzed using Logistic Regression and Random Forest classifiers. Out of the two Machine Learning models, Logistic Regression performed poorly due to high class imbalance whereas the Random Forest classifier achieved high accuracy with strong specificity and sensitivity. The dataset was later expanded to include more than 10,000 confirmed exoplanets, with the habitability parameter redefined via the Earth Similarity Index. This change modified the percentage of habitable exoplanets to decrease from around 4% to less than 0.7%. While the Random Forest model achieved perfect accuracy, potential overfitting was noted. 

This study constructs a nonlinear system of ordinary differential equations to examine the interplay among inflation, the exchange rate (USD/TRY), and the policy interest rate in Turkey. The framework incorporates quadratic terms to capture accelerating inflation and depreciation dynamics. The coefficients are calibrated using monthly Turkish macroeconomic data via least-squares estimation with heteroskedasticity-robust errors. The system is linearised around a single equilibrium point at approximately (π*, e*, i*) = (1.27, 2.15, 0.47) to analyse its local behaviour. The Jacobian of the linearised system is used to compute its eigenvalues, which reveal instability due to a positive real eigenvalue. Simulations show saddle-type behaviour in which inflation diverges away from equilibrium. Counterfactual analysis examines whether stronger policy responses could stabilise the system, but the dominant eigenvalue remains positive across the entire parameter range, indicating that no feasible action by the Central Bank of the Republic of Türkiye (CBRT) can ensure local stability. These findings suggest that Turkey’s persistent price pressures stem from nonlinear dynamics that cannot be fully addressed through standard monetary instruments, demonstrating the value of nonlinear dynamic modelling for interpreting unstable macroeconomic environments. 

'Fast Fashion' is a term used to define the sub-section of the clothing industry that produces cheap, low-quality, and trendy clothing (often, they are replicas of high-fashion items) in a very short amount of time, catering to the wants of the customer at the point of highest demand at a very low price. To quantify the increase in clothing purchases, in 1980, an average American bought 12 items of clothing annually, but today, the number is up to 68. This relatively new concept is taking the industry by storm financially with extraordinary growth rates. It is also impacting the environment negatively with a high and irresponsible consumption of natural resources in the economy. The labor conditions in the fashion world are also worsening with the need for faster production cycles stressing underpaid labor in developing countries. This paper discusses fast fashion, its origins, and the serious economic effect it is having today.