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Smart Talking Glove for the Speech Impaired

The Smart Talking Glove for the Speech Impaired is an assistive device made to help enhance communication for people in need by providing an intensive gesture-based interface. The system captures hand movements or gestures using flex sensors fixed on the fingers of the glove and a motion sensing unit to capture hand orientation. This enables recognition of the predefined gestures or signs. These sensor signals are processed by an ESP32 microcontroller, which is the core processing and communication unit. Using ESP32’s built-in Wi-Fi, the recognized data is transmitted to the Blynk IoT platform, where it is displayed as text and at the same time converted into audible speech. Speech generation is done by integrating the Google Textto-Speech (TTS) API, allowing real time speech synthesis using the Blynk IoT application. This system emphasizes portability, comparatively low cost, and user’s comfort, making it suitable for everyday use. Experimentation results show reliable performance with high accuracy, minimal latency, and rechargeable battery with prolonged operational life. The Smart Talking Glove also offers scalability, with scope for future enhancements like multilingual support, customizable gestures, Artificial Intelligence/Machine Learning based gesture recognition, and offline operation. Beyond assistive communication, the system shows strong potential for applications in gesture controlled robotics, smart home automation, virtual reality interfaces, and industrial control, highlighting its versatility as both an accessibility solution and an innovative human machine interaction tool.

Published by: Khushi Mahule, Ankita Sarode, Sheetal Katwe, Aboli Surate

Author: Khushi Mahule

Paper ID: V12I4-1216

Paper Status: published

Published: September 4, 2026

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Research Paper

Sustainable Rural Development in India: Lessons from the Unnat Bharat Abhiyan Programme in Mudikandam Village, Tiruchirappalli, Tamil Nadu

The Unnat Bharat Abhiyan (UBA) is an initiative by the Government of India that fosters collaborations between Higher Educational Institutions (HEIs) and rural communities to promote holistic rural development. The present study was conducted to examine the waste collection system, sources of water, sanitation system, source of energy and power, landholding information, agricultural inputs, agricultural production in a year, live stock numbers and major problems persisting in Mudikandam village, Trichy, Tamil Nadu, a constituent state of India. Insights were drawn from a survey by UBA coordinators from Indra Ganesan College of Engineering, Trichy to enhance rural development of v0illage. The findings reveal that the major problems persisting are lack of street lights, hospital, regular buses, plastic recycling, school, cow shelter. The implementation methodology includes a new scheme named Gramasabha meeting was aimed to engage with the local community, understand their needs and discuss ongoing development activities, Solar Street Light Installation Programme programme was organized with the objective of promoting rural development and encouraging the use of sustainable and renewable energy sources and 250 cloth bags were distributed to the public to promote environmental awareness.

Published by: D. Suresh, M. Anusuya, G. Balakrishnan, M. Joseph Salethraj

Author: D. Suresh

Paper ID: V12I4-1208

Paper Status: published

Published: September 3, 2026

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Research Paper

The Bharat Within a National Policy Framework for Youth Well-being, Future-Ready Education, and Nation Building for Generation Z and Generation Alpha

For India to receive a demographic dividend from its demographic window, educational expansion must be matched with the ability to produce resilient and skilled social capital. This secondary-data policy study analyses the “Bharat Within” framework for Generation Z and Generation Alpha. The analysis is based on Indian official data and peer-reviewed literature for the years 2020 to 2025. Since the primary data used in the study existed in a disparate format, descriptive analysis techniques, such as the percentage change, compound annual growth rate (CAGR), and the competition intensity index, were used in the study. India’s education system in the year 2023–24 enrolled 24.8 crore students at 14.72 lakh schools and approximately 4.46 crore in institutions of higher education (provisional figure for 2022–23). NCERT-based findings reported that the surveyed students showed anxiety (11%), extreme emotions (14%), and mood swings (43%). Student suicides reported by the NCRB increased from 12,526 in 2020 to 13,044 in 2022, representing a 4.1% increase and a CAGR of 2.0%. Between the years 2020 and 2024, NEET registrations increased by 50.6%. Additionally, between 2022 and 2025, unique registrations for the JEE Main increased by 50.0%. ASER 2024 reported a gap in rural students’ social media (vs. educational) use of 19 percentage points; rural students also showed near-universal access to smartphones. Based on this evidence, the study advocates that wellness services offered in schools adopt a flexible and tiered system. Furthermore, it recommends first-response training for teachers, regulated competitive exam prep, innovation and community building, AI and digital wellness training, and the National Student Well-Being Index (NSWI) be developed and integrated into Indian schools.

Published by: Dr. Jay Dhruv

Author: Dr. Jay Dhruv

Paper ID: V12I4-1200

Paper Status: published

Published: September 2, 2026

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Research Paper

A Study to Assess the Knowledge and Attitude Regarding Premenstrual Syndrome and Coping Strategies Among Female Undergraduate Students

Premenstrual syndrome (PMS) is a common cyclical condition among women of reproductive age, characterized by physical, psychological, and behavioural symptoms during the luteal phase of the menstrual cycle. The study aimed to assess the knowledge, attitude, and coping strategies regarding PMS among female undergraduate students. A quantitative approach with a descriptive research design was adopted, and 150 female undergraduate students were selected using convenience sampling from a selected college in Kollam district. The findings revealed that 48.7% (n=73) had average knowledge, 97.3% (n=146) had a positive attitude, and 50% (n=75) adopted moderate coping strategies. There was significant Association between the knowledge regarding premenstrual syndrome and selected Demographic variables and no significant association was found between attitude towards PMS and selected demographic variables. The study concluded that the majority of students had average knowledge, a positive attitude, and moderate coping strategies regarding PMS.

Published by: Gowry P, Ayisha Sharaf, Sangeetha B S, Anitta Babu, Mubashira Rasheed, Adithyan S, Susan George, Shabna Sasidharan

Author: Gowry P

Paper ID: V12I4-1206

Paper Status: published

Published: September 1, 2026

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Research Paper

Impact of Artificial Intelligence Tools on Academic Performance and Psychological Well-Being Among Undergraduate Students in Selected Colleges in Kollam District

Background & Objectives: The present study was undertaken to assess the impact of Artificial Intelligence (AI) tools on academic performance and psychological well-being among undergraduate students in selected colleges of Kollam district. Methodology: A quantitative research approach with a descriptive research design was used. A sample of 100 undergraduate students was selected from Younus College of Engineering using a non-probability convenience sampling technique. Data were collected through structured questionnaires for measuring AI tool usage, academic performance, and psychological well-being. For the analysis descriptive and inferential statistics were used. Results: The findings revealed that majority of students that is 58% had a high level of AI tool usage, 26% had moderate usage, 13% had very high usage, and 3% had low usage. Regarding the academic performance, 63% achieved excellent level and 37% an average level. Psychological well-being was moderate in 56%, mild in 31%, good in 12%, and poor in 1%. Statistical analysis shows that there is a significant weak positive correlation between AI tool usage and academic performance (r = 0.240, p = 0.016) and a significant weak negative correlation between AI tool usage and psychological well-being (r = -0.270, p = 0.007). Conclusion: The study highlights that the usage of AI tools enhance academic performance of students and higher usage of AI tools is reduces the psychological well-being of the student which emphasizing the need for balanced digital habits.

Published by: Sajna Sajeer, Prof. Amal James, Asha Raichal Sam, Jeena Varghese, Mahima Murali, Irfana Hussain, Devika, Alan Lalal

Author: Sajna Sajeer

Paper ID: V12I4-1191

Paper Status: published

Published: August 25, 2026

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Thesis

A study to assess the effectiveness of structured teaching program on knowledge regarding home maneuver for foreign body ingestion among mothers of toddlers in selected villages of district Mandi, Himachal Pradesh

Foreign body ingestion is a common and potentially life-threatening emergency among toddlers. Mothers play a vital role in prevention and immediate management, and adequate knowledge of home manoeuvres can help reduce complications and improve child safety. The main aim of the study was to assess the effectiveness of a structured teaching programme on knowledge regarding home manoeuvres for foreign body ingestion among mothers of toddlers in selected villages of District Mandi, Himachal Pradesh. A quantitative research approach with quasi-experimental non-randomized control group design was used. The study was conducted on 60 mothers of toddlers, with 30 in the experimental group and 30 in the control group. Samples were selected using non-probability convenient sampling technique from selected villages of District Mandi, Himachal Pradesh. Data were analyzed using descriptive and inferential statistics and presented through tables and bar diagrams. The pretest mean knowledge score was 10.13 in the experimental group and 10.03 in the control group, whereas the posttest mean scores were 19.76 and 10.46, respectively. The calculated paired 't' value in the experimental group was 14.82, higher than the table value of 2.05 at p≤0.05, while in the control group it was 1.12, lower than 2.05. Thus, the structured teaching programme had a significant impact on mothers' knowledge. A significant association was also found between posttest knowledge score and selected socio-demographic variables in the experimental group at p≤0.05 level of significance.

Published by: Yamini Sharma, Shephali Walia, Pallavi Mehra, Priyanka Sharma

Author: Yamini Sharma

Paper ID: V12I4-1187

Paper Status: published

Published: August 25, 2026

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