Authors :
Ritendu Bhattacharyya; Sharat Chandra K. Manikonda; Bharani Kumar Depuru
Volume/Issue :
Volume 9 - 2024, Issue 2 - February
Google Scholar :
http://tinyurl.com/2s39wf2e
Scribd :
http://tinyurl.com/yrs3cs3b
DOI :
https://doi.org/10.5281/zenodo.10652946
Abstract :
AI (Artificial Intelligence) - driven interactive
chatbot provides easy conversation and reduces manual
interaction. This study enhances the chatbot quality with
custom information which helps the end-user to inquire
questions that are not in build. Before this research
candidates used to interact with the salesperson of the
institute, but this research proposes that candidates are
not required to wait for the conversation with the
salesperson, they can sit with the chatbot whenever they
want to ask for any details about the institute. This
particular solution will give a bit of relief to the
salesperson and it will increase the number of candidates
where they will get easy clarifications very promptly with
no time.
This aims to provide a flexible chatting interface
where end-users can propose any questions and get a
resolution. This will lend a hand to increase the quality of
the admin operation and also candidates can form proper
decisions with crystal clear clarity.
This study uses various tech stacks. The process we
discussed was implemented using LLM (Large Language
Models) generative AI. Seamless deployment makes it easy
to chat and get answers within seconds.
Keywords :
Chatbot, Transformers, LLM, Lang chain, Prompt Engineering, Mistral 7B, PALM2, Flask
AI (Artificial Intelligence) - driven interactive
chatbot provides easy conversation and reduces manual
interaction. This study enhances the chatbot quality with
custom information which helps the end-user to inquire
questions that are not in build. Before this research
candidates used to interact with the salesperson of the
institute, but this research proposes that candidates are
not required to wait for the conversation with the
salesperson, they can sit with the chatbot whenever they
want to ask for any details about the institute. This
particular solution will give a bit of relief to the
salesperson and it will increase the number of candidates
where they will get easy clarifications very promptly with
no time.
This aims to provide a flexible chatting interface
where end-users can propose any questions and get a
resolution. This will lend a hand to increase the quality of
the admin operation and also candidates can form proper
decisions with crystal clear clarity.
This study uses various tech stacks. The process we
discussed was implemented using LLM (Large Language
Models) generative AI. Seamless deployment makes it easy
to chat and get answers within seconds.
Keywords :
Chatbot, Transformers, LLM, Lang chain, Prompt Engineering, Mistral 7B, PALM2, Flask
