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2024 ITU Kaleidoscope Academic Conference



           vegetables, it lags behind other Indian states in preserving  studied this issue, there’s a lack of theoretical research
           their freshness. Another issue is the challenge of adopting  explaining why and how product types affect e-commerce.
           new technologies for farmers, who are encountering  This article introduces the Product E-commerce Value
           difficulties in this regard. [1] A survey conducted in a  Theory, which includes five elements: supply and demand
           lateritic zone in West Bengal revealed three major reasons  difference, perception of quality, willingness to pay for
           why farmers might not adopt new technology: lack of  e-commerce, logistics satisfaction, and post-purchase
           understanding, inability to customize it to their needs, and  evaluation. An analysis framework for product selection
           inability to use it in various situations. The study aims  in e-commerce is also proposed based on this theory
           to enhance the productivity of small farmers in India by  [7]Furthermore, research has developed methods for
           providing them with better training. It also suggests that  creating chatbots to assist users across various industries.
           companies may consider investing in assisting farmers as  Chatbots answer questions, provide customer information,
           part of their social responsibility. This study is particularly  offer train schedules, aid in reservations, act as virtual
           significant for regions like Jangalmahal, where resources  assistants, and serve as automated call centers for millions
           for farmers are limited. It is important to cultivate  of customers. This study employs a deep learning-based
           crops in an environmentally friendly manner to promote  conversational AI technique, combined with convolutional
           sustainable farming. However, in West Bengal, a lack of  neural networks and TensorFlow, to enhance chatbot
           awareness and pressing income needs are leading farmers  accuracy. Experimental results show that deep learning
           towards unsustainable practices [8] The main issue is the  significantly improves chatbot accuracy compared to
           absence of a comprehensive policy framework to promote  traditional models [11]E-commerce websites are popular
           sustainable  agriculture  intensification  (SAI),  despite  because they make shopping easier. Chatbots, which are
           the existence of individual programs and policies. Many  AI programs, enhance customer service by simulating
           farmers continue to use practices that harm the environment  conversations with users through text or voice. They help
           due to a lack of awareness about better methods or urgent  e-commerce businesses reach more customers, increase
           financial needs. Improved collaboration among village-  sales, and provide better service by guiding users and
           level organizations is essential to achieve sustainable  making personalized recommendations. Chatbots are
           farming. The agricultural sector in our region faces a  becoming essential for marketing and customer support
           multitude of challenges, ranging from inadequate financial  [3]E-commerce websites are popular because they make
           support and limited technical knowledge to unsustainable  shopping easier. Chatbots, which are AI programs,
           farming practices and market price fluctuations. Despite  enhance customer service by simulating conversations
           government initiatives, these issues have led to a decline in  with users through text or voice. They help e-commerce
           farming interest among local communities. In our research,  businesses reach more customers, increase sales, and
           we engaged with individuals directly involved in farming,  provide better service by guiding users and making
           including farmers and landowners, to explore these  personalized recommendations. Chat bots are becoming
           challenges further. Through surveys and conversations,  essential for marketing and customer support.
           we sought to comprehend the underlying problems and
           identify potential solutions. As part of our investigation,
           we have developed a questionnaire to gather insights            3  METHODOLOGY
           and are currently analyzing data collected from various  This paper collected data mainly from websites such
           authenticated sources. Our aim is to propose strategies that  as data.gov.in and wbpspm.gov.in. We gathered statistical
           empower farmers to sell their produce directly, improve  data from these sites and also communicated with people
           their financial standing, and contribute to community  from South 24 Parganas through telephone conversations
           development. A key contribution of our study is the  and direct interviews. This was necessary because many
           development of a mobile application designed to facilitate  individuals involved in farming or related activities are not
           seamless interactions between sellers and buyers. This  very tech-savvy and are unable to fill out online forms.
           innovative app features user profiles, a recommendation  We conducted the entire study by collecting data from
           system for product discovery, and a language-agnostic chat  various websites, analyzing the recent scenario, and plot-
           function for effective communication and deal closure.  ting graphs to identify changes in crop yield. We also
           Additionally, the app spreads awareness and educates  prepared questionnaire lists in tables for conducting con-
           people about effective farming techniques, aiming to  versations to understand why people are losing interest in
           motivate young people to pursue farming.            farming. Then, we tried to suggest AI-based solutions.

                                                               3.1 Observations From Collected Data
                    2 LITERATURE REVIEW                          Despite West Bengal being agriculturally prosperous
             Recently, the integration of AI assistants in e-commerce  and well-known for its paddy production, the data on
           has significantly impacted business operations by enabling  the Details of Expenditure Incurred on Paddy Procured
           machines to learn from data and interactions without  by the Food Corporation of India (FCI) during 2021-22
           direct programming [12]In e-commerce, product type is  reveals that the state lags behind other states.[The data
           critical for success. While many scholars have empirically  used in this study was obtained from [6], the most recent






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