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Basically,many emergency services,service company and ecommerce companies require helplines and people. But the catch here is… Emergency disaster /natural disaster requires people to not only assure them help but also to guide them, pacify them, and at the same time provide back-up to the police or doctors with their current locations. Now can all the police/doctors/people be available all the days for 24hrs??? No! It’s not feasible, right? hence, I came up with this solution. I am not talking about AI dominating world or dominating even jobs of people. But how about an AI assistant like google or Alexa. An AI which could exhibit emotions and can response to consult as well as console people with provided service specific answers along with basic knowledge and intelligence of a human. Now this should pass the turning test of AI i.e. we all know an AI is the best if it can pass the turning test, that is a human will interact with it not knowing that he is interacting with an AI and gets convinced that he is speaking or chatting to a human.

HealthSamjho is a simple AI-powered web app that helps users understand medical information easily. Users can upload prescriptions, test reports, or doctor conversations and get clear, easy-to-understand explanations in plain language. Built with a focus on simplicity, accessibility, and real-world usability for all age groups.

A project aims to help patients who need a diagnosis of possible diseases at home but still have a high level of accuracy. In addition, the system can also help doctors have pre-diagnose, thus reducing diagnosis time. In the world of Big Data, AI, and Machine Learning, people have used many efficient computational methods to employ automatic systems. From such a perspective, the solution for the aforementioned problem is software with a database combined with machine learning to classify and give the probability of having the corresponding diseases.

Leben is a global medical industry smart contract collaboration platform featuring "deep sharing of medical knowledge" and "trusted exchange of medical data". Leben's vision of "global medical homogenization" is to solve the "sovereignty and sharing of knowledge" and "confidentiality and exchange of data" that have plagued the global medical industry for centuries. It implements "thought projection" for super doctors or medical institutions with unique expertise through mature medical AI technology, and the "data sandbox" data sharing model brought by the blockchain smart contract to realize the separation of ownership, use right and execution right of medical data. Based on the above model, Leben will gradually become a platform on which a "smart contract" is created by a small group of doctors or medical institutions, while its data and knowledge are used by doctors or medical institutions all around the world at any time to treat or help more patients.

Problem : Today, in this pandemic situation all over the world, our lives have become difficult. People are afraid to go out of their homes and they especially don’t want to go to hospitals as there is a high chance of disease spread. This situation is even worst during complete Lockdown situations. Also, on other hand, doctors are facing problems in diagnosing the disease at an early stage. They diagnose based on their knowledge and their experience. But, when a new disease breaks out, it is difficult for them to find out the relation between medical data they get from a healthy person and a patient victimized by the disease. Besides these problems, many people go to hospitals and crowd the place for very small health issues which can be cleared out in a call or chat. And sometimes during an emergency, people always face difficulty finding out doctor available at service to help them out. All these problems call out a need to come up with a technology that would connect both categories of people: medical help seekers and providers together all-time 24/7. Solution : The Three Main Objective of this idea are: • Providing Medizin Chatbot Service • Providing effective E-consultancy Service • Providing AI Expert to Doctors We have brainstormed our ideas to connect Doctors and Patients who are separated by distance and current pandemic situations. Through this website, Patients can ask their queries to Doctors at any time. Their query will be posted in the doctors circle and the doctor is provided with options to answer the query, report the query and see the medical history of a patient who posted the query etc... The patient can also find out details of doctors who are currently available to help them via call and they can check out the doctor replies to all cases posted on the website publicly and filter replies for their case alone using their unique patient ID. The admin will be given a feature to authorize the patients and doctors on the website. The AI Expert and Medizin Chatbot module of this idea will add widen the use case of this idea. Using AI Expert, doctors would predict diseases like heart disease, corona based on X-ray scans, etc. based on Machine Learning Models and pre-defined datasets. The Medizin Chatbot will be developed using NLP which would assist patients by providing details required by them like Hospital address, contact, website, and recommend best hospitals near them for EyeCare, etc. on request. It would allow the patient to request a live chat with a doctor from any hospital who is registered on this website. Doctors can accept and answer multiple patients' queries in this Live chat 24*7. They will be paid based on patients review and the number of cases solved in a month. All these features add good value to our Medizin website and it is more likely to eliminate the need of going to hospitals in many families – thus solving the problem defined. Technologies will be used for implementing this idea : • Html • CSS • Bootstrap • Django • Flask • MongoDB • MySQL • PHP • JavaScript • Machine Learning • Data Visualization How we Implemented our idea : Our Idea consists of three different modules. Both of us together worked on each module for one-third of the hackathon duration and with our best, we finished our idea implementation on time. Project Progress: ~ 90% completed Business Plan: 1. Patients pay consultancy fees for doctors after each V-check-up. Only after they pay, they can continue with the next check-up. (rs. 160 per e-consultancy) 2. Doctors get paid based on the review they get from patients and the number of cases they solved in a particular month. (rs. 135 per e-consultancy) 3. We charge a small and affordable percent of pay on doctors and as well as patients for our profit. (rs.25 per e-consultancy). With further improvements in the business plan and technical features, we believe that this idea will be a successful product in the market, solving all defined problems.