internship report on social internship of engg. student

internship report

1. || Jai Sri Gurudev|| Sri Adichunchanagiri Shikshana Trust (R) SJB INSTITUTE OF TECHNOLOGY ( Affiliated to Visvesvaraya Technological University, Belagavi & Approved by AICTE, New Delhi Accredited by NAAC, New Delhi with ‘A’ Grade, Recognized by UGC, New Delhi with 2(f) and 12(B)Certified by ISO 9001- 2015, Accredited by NBA)   Department of Information Science & Engineering INTERNSHIP Presentation on “ Chatbot Healthcare System ” By Hemanth J (1JB22IS401) Under the guidance of Compsoft Technologies Internal Guide Guide name, designation External Guide Guide name, designation

2. INTERNSHIP Presentation on “ Chatbot Healthcare System ”

3. Abstract About the company Services offered Introduction Tasks performed Conclusion Reflection notes References 3 CONTENTS

4. ABSTRACT Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. A developing number of hospitals, nursing homes, and even private centers, presently utilize online Chatbots for human services on their sites. 4

5. ABOUT THE COMPANY Website http://www.compsofttechnologies.com Industries Information Technology and Services Company size 20-50 employees Headquarters Bangalore, Karnataka Type Privately Held Founded 2010 Specialties Python, AIML, Data Science 5

6. A subset of artificial intelligence known as machine learning focuses primarily on the creation of algorithms that enable a computer to independently learn from data and previous experiences. Arthur Samuel first used the term "machine learning" in 1959. It could be summarized as follows: Without being explicitly programmed, machine learning enables a machine to automatically learn from data, improve performance from experiences, and predict things. 6 Machine Learning : INTRODUCTION

7. Data collection Data Preparation Choose Model Train the model Evaluate the model Parameter tuning Make predictions TASKS PERFORMED 7

8. Objectives Chatbot Healthcare system. Our python-based system connects patients with the chatbot that will help them give the correct answers and precautions to their questions. It is developed with the aim to provide helpful information instantly, especially in times when every second is important. The system will also help the users to find doctors, on online in emergencies. 8

9. Services Offered Compsoft Technologies is a Technology start-up focusing on Services Such as, Core Java and Advanced Java Web services and development Dot Net Framework Python Academic Project Guidance 9

10. The development of a chatbot healthcare system in Python holds significant promise for revolutionizing patient engagement, accessibility, and overall healthcare delivery. Through the use of natural language processing (NLP) and machine learning algorithms, the chatbot can effectively interact with users, provide medical information, offer guidance on symptoms, and even assist in preliminary diagnosis. The advantages of such a system include 24/7 availability, quick response times, and the potential to alleviate the burden on healthcare professionals by handling routine queries and basic health-related concerns. Moreover, the chatbot can contribute to health education and awareness, empowering users to make informed decisions about their well-being. 10 CONCLUSION

11. Firstly they tried to teach about python and how to implement it. Then , the concepts of Machine learning. Understanding the Software development life cycle while implementing in real world projects. Good work life Industry exposure. REFLECTION NOTES 11

12. REFERENCES 1. Natural Language Processing (NLP) Libraries: - NLTK (Natural Language Toolkit): https://www.nltk.org/ - SpaCy : https://spacy.io/ 2. Machine Learning Libraries: - Scikit-learn: https://scikit-learn.org/ - TensorFlow: https://www.tensorflow.org/ - PyTorch : https://pytorch.org/ 3. Chatbot Development Frameworks: - Rasa: https://rasa.com/ - ChatBot : https://chatterbot.readthedocs.io/   4. Healthcare Datasets: - MIMIC-III (Medical Information Mart for Intensive Care): https://mimic.physionet.org/ - Open- i (Open Access Biomedical Image Search Engine): https://openi.nlm.nih.gov/   5. Medical Information APIs: - UMLS (Unified Medical Language System): https://www.nlm.nih.gov/research/umls/index.html - Health Gorilla API: https://www.healthgorilla.com/ 12

13. 13 THANK you!