👨💻 Who We Are
We are a dedicated group of four Second-year Computer Engineering students from Pimpri Chinchwad College of Engineering and Research (PCCOE&R), Pune. As part of our subject Community Engagement Program, we have collaborated to solve a real-world problem using technology and creativity. Despite being in the early stages of our academic journey, our team shares a strong passion for building impactful tech solutions
🏡 Our Background
Although we all belong to different cities of Maharashtra, we came together at PCCOE&R, Pune with a shared passion for technology and innovation. Coming from varied schooling backgrounds and small towns, each of us brings a unique set of ideas, experiences, and motivation. This diversity has helped us look at problems from multiple perspectives and build more practical, people-focused solutions. Our goal has always been to use what we learn in class and turn it into something real that can help society — and AarogyaAI is our first step in that direction.
🧠 What is AarogyaAI?
Our project, AarogyaAI, is an AI-based health chatbot designed to give users quick and trustworthy responses to basic medical queries. It acts as a virtual first-aid assistant that provides information about common symptoms, diseases, and health precautions.
In rural and semi-urban areas, people often don’t have quick access to medical consultation. They either ignore their symptoms or rely on unverified internet sources. AarogyaAI is our solution to bridge that gap by providing basic healthcare awareness instantly, anytime, anywhere.
⚙️ Technical Stack & Features
- Frontend: HTML, CSS, JavaScript.
- Backend: Python, Yaml, Rasa, Fireworks API.
- AI/Chatbot: Rule-based logic & basic NLP using Python.
- Database : Mongo DB, SQL.
The chatbot is built in a simple interface so even non-tech users can easily use it. It responds to keyword-based health-related queries like “fever,” “cold,” “headache,” “stomach pain,” etc., and provides relevant guidance.
👨🏫 Roles & Responsibilities
Each team member is handling a specific area of the project based on their strengths:
- Parth Lad : Frontend Developer & UI Designer
- Shubham Lijade : Frontend Developer & UI Designer
- Aniket Kuyate: Backend Developer (Chatbot Logic)
- Ram Mantri: Backend Developer (Keyword Integration)
Responsible for designing clean, user-friendly web pages (login, about us, chatbot interface). Also manages animations, colors, and overall visual appeal.
Worked alongside Parth to implement clean CSS styling, fonts, color themes, and contributed to making the chatbot interface intuitive and accessible.
Developed the core chatbot using Python and implemented rule-based logic and basic NLP to understand health-related user queries.
Handled server-side code using Yaml, connected frontend with backend logic, and ensured that user inputs generate relevant AI-driven responses.
🌟 Our Vision
Our dream is to evolve AarogyaAI into a fully functional multilingual digital assistant that can one day connect with real doctors, maintain user history, and provide personalized suggestions. We want it to be accessible to rural India, where healthcare access is still a big challenge.