• Jyoti Thakur
• Dr. Premal Patel
• Soniya Suthar
• Sourabh Dattalkar
• Atik Sama

This paper checks out how LangChain, which is basically a framework for making apps using large language models (LLMs), can be combined with generative AI to get better at spotting potential customers on social media. The usual ways of finding leads have issues like not being able to grow easily, messing up data handling, and failing to really understand tricky social media stuff.This work suggests an AI-powered approach that automatically identifies leads by analyzing the tone of posts, monitoring how much engagement they get, and crafting personalized messages to reach out to them. The system grabs data from different social media APIs, depends on language processing tools, and uses generative AI to make the whole thing of finding and connecting with potential leads a lot easier. It stacks this new method against the older ones by checking stuff like how many leads actually become customers, how much each lead costs, and how good the engagement levels are. The study also talks about the ethical side of using AI for lead generation, like keeping data private, avoiding biases in algorithms, and following rules like GDPR and CCPA. The results show that combining LangChain and generative AI can make social media marketing more efficient, accurate, and cheaper, offering a new way to find customers using AI.

LangChain, Generative AI, Large Language Models (LLMs), Social Media Lead Generation, Natural Language Processing (NLP), Sentiment Analysis, Engagement Tracking, Personalized Outreach, AI-Powered Marketing, Data Privacy, Algorithmic Bias, Conversion Rate Optimization, Cost Per Lead (CPL), Social Media APIs, AI-Driven Customer Acquisition, Marketing Automation.

"Integrating LangChain and Generative AI for Efficient Lead Generation from Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.g543-g549, March-2025, Available :http://www.jetir.org/papers/JETIR2503665.pdf

"Integrating LangChain and Generative AI for Efficient Lead Generation from Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppg543-g549, March-2025, Available at : http://www.jetir.org/papers/JETIR2503665.pdf