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Technology has changed the way businesses talk to their customers. Some years ago, if people had a question, they had to wait for a customer care agent to reply after long hours or even days. These intelligent chatbots respond to consumer inquiries around-the-clock without tiring. However, it could seem that only large IT companies are capable of creating an AI chatbot.
Actually, no.
This is the real story of one student from NDMIT (National Digital Marketing Institute & Training) who built his own AI-powered customer support chatbot using Python—even though he was not from a coding background. His name is Arjun Sharma, a final-year BBA student who joined NDMIT to learn Data Science and Machine Learning to improve his career. What started as a simple class assignment turned into a powerful real-world project that brought him freelance opportunities and confidence to become a Data Analyst.
In this blog, we will uncover:
Arjun did not come from a computer background. He had never written a single line of code before joining NDMIT. Like many students, he was worried about his career and wanted to stand out in a competitive world. During his orientation class at NDMIT, he heard about real industry projects, AI tools, and machine learning applications. He was particularly drawn to the idea of AI chatbots.
He witnessed the deployment of chatbots by businesses such as Swiggy, Zomato, Amazon, and even banks to provide prompt customer service. His thoughts were:
“If I can learn to create a chatbot and businesses need one, I can get actual projects and showcase this in my portfolio.”
It was just one notion that made all the difference.
Reasons Why a Chatbot Project Was the Best Option
During his time at NDMIT, Arjun came to the realization that if he wanted to make an impression at a job interview, he needed to pick the correct project. Simple tasks like Titanic survival prediction and house price prediction are the most popular among students, although they are overdone.
So he made the decision: “I’ll use Python to create a customer support chatbot.”
Technologies and Tools Employed
Arjun maintained simplicity. He employed:
Example of Tool/Library Use
Programming language NLTK (Natural Language Processing) Python Base
Regex text cleanup
A flask Using chatbots on JSON websites Keeping track of question-answer pairings
In-depth Journey of Chatbot Development
Studying the Fundamentals of Python
Before building anything, Arjun learned:
Arjun figured out way to educate the chatbot to understand human speech:
He started by building a simple chatbot using if-else expressions. He then switched to answers based on JSON. For instance:
{
“greeting”: [“Hello! How can I help you today?”, “Hi! What can I do for you?”],
“thanks”: [“You’re welcome!”, “Happy to help!”]
}
This helped the chatbot reply smartly to common customer questions.
Instead of exact keywords, Arjun used cosine similarity with NLP to match user queries. So even if someone typed:
“How can I contact support?”
the bot would understand it is related to customer support query.
He hosted the chatbot on a sample website using Flask. His “wow moment” arrived when everything became tangible. Arjun’s Takeaways from This Project
Above all, he learnt how to learn.
In conclusion, it is possible to create AI tools.
Any student can learn Python and AI with the right instruction and support, as demonstrated by Arjun’s narrative. You don’t have to have any technological experience. All you need are genuine tasks to work on, a mentor who is suited for you, and a solid commitment.
✅ 70% common questions were answered by bot
✅ Response time became instant
✅ Institute saved 2 hours daily
✅ Students could ask doubts anytime
This was a real, useful project that helped a real business.
What This Project Taught Arjun
In conclusion, you can also create AI tools.
Arjun’s story demonstrates that, with the right instruction and support, any student can learn Python and AI. Technical experience is not a prerequisite. A strong feeling of dedication, the right mentor, and real projects to work on are all you need.
At NDMIT (National Digital Marketing Institute & Training), we assist students in developing real-world data science and machine learning projects so they can improve their portfolios and land actual jobs.
If you want to:
✅ Work on live AI projects
✅ Build job-ready skills
✅ Learn Python, Data Science & AI from scratch
✅ Receive certifications + internship + placement help
Arjun Sharma is a final-year BBA student from NDMIT who built the AI chatbot. He had no prior coding background (non-technical) and joined NDMIT to learn Data Science and Machine Learning to enhance his career. The chatbot project started as a class assignment
Arjun maintained simplicity by using Python as the base language. The core technologies included NLTK for Natural Language Processing (NLP), Regex for text cleanup, JSON for storing question-answer patterns, and Flask for deploying the chatbot on a website. His step-by-step process involved learning Python fundamentals, understanding NLP (tokenization, lemmatization), building a JSON-based brain, adding smart replies using cosine similarity, and finally, deploying the bot.
The chatbot helped NDMIT significantly by answering 70% of common student questions instantly, which in turn saved the institute 2 hours daily of staff time. It also allowed students to get their doubts answered anytime (24/7).
The blog post mentions that Arjun joined NDMIT to learn Data Science and Machine Learning and that he practiced using class assignments and real exercises given by trainers at NDMIT. While it does not name a specific individual mentor or teacher who instructed him, it clearly indicates that NDMIT provides the trainers/mentors and the instruction necessary for students (even those without a coding background) to learn Python, Data Science, and AI concepts like NLP, which are essential for building a machine learning-based chatbot.
NDMIT provides a comprehensive package to ensure you succeed in Data Science and AI. This includes teaching you the fundamentals of Python and NLP, pairing you with a suited mentor, providing live AI projects to work on, and offering certifications, internship opportunities, and placement help to ensure you can improve your portfolio and land an actual job, just like Arjun who gained the confidence to become a Data Analyst.
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