This document proudly unveils our group's innovative solution to the EY Techathon 4.0's healthcare industry challenge. We harnessed the power of Generative AI (Gen AI) to develop a groundbreaking system for Personalized Diagnosis and Treatment. ------------------------------------------------------------------------ Whether you need a presentation for a business meeting, a sales pitch, or an educational lecture, I can create a custom design that meets your specific needs and goals. Contact me today to discuss your next presentation project! Parth Gajjar [Whatsapp : https://wa.me/+918238231270] [https://iconventurecompany.com/] [www.linkedin.com/in/iparthgajjar]

1. EY Techathon 4.0
Executive Summary
Team Name 761725-U4AHD029
College Pandit Deendayal Energy University
Member I Parth Gajjar Business Acumen, Data Management
Member II Pal Naik NLP, Time Management
Member III Pooja Yadav Organizational, Communication
Member IV Keval Thakkar Leadership, Problem Solving
Member V Vraj Patel Project Management, Networking
Contact details +91 82382 31270
Date of Submission : 14 October, 2023
Team Details

2. PROBLEM STATEMENT : HEALTHCARE (CHALLENGE - 1)
Reimagining Healthcare with Generative AI: Personalized Diagnosis and Treatment
Our Solution : Generative AI Healthcare chatbot backed by Artificial Intelligence and Machine Learning
As per data 2022 - the doctor patient ratio in India is 1:1456 against the WHO recommendation of 1:1000. This shortage of doctors often
results in delay in disease diagnosis and treatment.
Company to direct customer module Doctor to Patient Module
SVC
GaussianNB
RandomForestClassifier
The models are implemented
in Python using,
modules from sklearn library.

3. Data Set : Symptoms Description Data Set : Symptoms Precautions
Disease progression prediction
Patient-specific treatment plan generation
Enhanced telemedicine experiences
Our Key Components:
Patient: Sakshi, diagnosed with breast cancer.
Generative AI Solution :
Disease progression prediction: High risk of developing metastatic
breast cancer within the next five years.
Patient-specific treatment plan generation: Combination of
chemotherapy, surgery, and radiation therapy.
Enhanced telemedicine experiences: Personalized educational
materials, virtual support and guidance, and virtual reality simulations
to practice self-care skills.
Google Maps
Voice Modulation
Integration :
EXAMPLE OF OUR MODEL
Accuracy : 80-85 % (Over time, the chatbot will be upgraded using
Machine Learning - deep learning, and its accuracy will improve to
95-98%.)
Our proposed solution will help to reduce healthcare costs and improve accessibility to medical knowledge through medical chatbot