who will support the development and integration of AI-powered tools to enhance customer experience, automate workflows, and provide intelligent solutions for temple and pilgrimage tourism services. This role is ideal for students or freshers passionate about AI, travel-tech, and spirituality-driven tourism.
Key Responsibilities
Assist in developing and training AI chatbots/virtual assistants to handle customer queries related to pilgrimage tours, temple history, and bookings.
Support the design of AI-driven recommendation systems for personalized tour packages.
Work on data structuring and knowledge base creation (temple details, rituals, timings, nearby accommodations, transport).
Collaborate with the tech and content teams to ensure accurate, culturally sensitive, and user-friendly AI responses.
Research and implement AI applications in tourism (NLP, voice search, predictive travel insights).
Analyze user interactions and suggest improvements in AI tools for better engagement and accuracy.
Requirements
Currently pursuing or recently completed studies in
Computer Science, AI/ML, Data Science, Tourism Tech, or related fields
.
Basic knowledge of
AI/ML models, Natural Language Processing (NLP), and chatbot development
.
Strong interest in
temple tourism, Indian culture, and spirituality
.
Familiarity with tools like
Python, TensorFlow, Rasa, Dialogflow, or OpenAI API
(preferred but not mandatory).
Good communication, research, and problem-solving skills.
Ability to work independently as well as in a team environment.
Learning Opportunities
Hands-on experience in
AI applications for the tourism industry
.
Exposure to
pilgrimage tourism operations
and customer engagement strategies.
Mentorship from senior professionals in AI and tourism management.
Opportunity to contribute to innovative projects combining
technology and culture
.
Perks
Internship certificate on successful completion.
Flexible working hours (depending on academic schedule).
Potential for full-time placement based on performance.
Involvement in
live projects impacting real customers
.
Job Type: Full-time
Pay: Up to ₹500,000.00 per year
Work Location: In person
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