HealthMate – AI-Powered Healthcare Chatbot
Summary
Built a healthcare chatbot using Python, Streamlit, and Generative AI (Gemini 1.5 Pro) analyzes symptoms and gives guidance.
Computer Science and Engineering student at Indian Institute Of Information Technology, Ranchi
B.Tech
Computer Science and Engineering
Grade: 8.4
Awarded By
HackerRank
Awarded HackerRank certificate for boosting algorithmic efficiency and accuracy by 40% through proficient coding
Issued By
Growth Ninja
Issued By
Udemy
Issued By
NPTEL
Issued By
LSE
Issued By
Coding With sagar
Java, Python, JavaScript, C, C++.
HTML, CSS, JavaScript, React.js, Streamlit.
Node.js, Express.js, Spring Boot, RESTful API Development.
MERN Stack (MongoDB, Express.js, React.js, Node.js), scikit-learn, TensorFlow.
Generative AI (Gemini 1.5 Pro), Natural Language Processing (NLP), ML Model Training and Integration.
MySQL, MongoDB, SQL Queries, Normalization, Indexing.
JWT, bcrypt, Secure Login Systems.
Razorpay API.
Git, GitHub, Visual Studio Code, Linux Terminal, Postman, Wireshark.
AWS (basic), Docker (if used), Netlify, Streamlit Cloud.
User-Centered Design, Responsive Interfaces, Streamlit UI Development.
Debugging, Version Control, Agile Methodology, API Testing.
TCP/IP, HTTP/HTTPS, Socket Programming, Client-Server Architecture.
Familiar with Docker and container workflows.
Jest, xUnit (desirable).
EC2, Lambda, API Gateway, RDS, S3 (desirable).
Conceptualized and executed a NASA-approved 8th-grade project on human space settlement challenges., Orchestrated and led our institute to podium finishes in 7 of 10 events at the prestigious Inter-IIIT sports event, Completed 200+ algorithmic problems on LeetCode and HackerRank, enhancing problem-solving skills and coding.
Summary
Built a healthcare chatbot using Python, Streamlit, and Generative AI (Gemini 1.5 Pro) analyzes symptoms and gives guidance.
Summary
Designed and deployed a scalable e-learning platform using MERN stack with Razorpay for payment integration.
Summary
Engineered a solution for farmers using Java (Spring Boot), Python (scikit-learn), and MySQL to predict optimal crops