Advanced AI Med-Chatbot and Data Analysis
Budget: ₹12,500 – ₹37,500 INR
1. Developed an innovative AI-powered medical healthcare chatbot using GPT-2 to enhance user engagement and
provide reliable health information. The chatbot answers FAQs, offers personalized prevention techniques, and
assesses symptoms to determine if a medical consultation is necessary. This initiative aims to reduce unnecessary
doctor visits and ensure timely access to trustworthy health guidance. Prediction of various diseases as per
symptoms provided by users along with recommendation of doctors for the same disease is also implemented to
ease the medical consultation for the user.
2. Developed a real-time weather analysis stream using Hive, PySpark, Kafka and AirFlow. Developed ETL
pipelines for data ingestion, transformation and storage, enabling real-time streaming and automated workflows for
accurate forecasting.
3. Developed a machine learning model to predict loan approval based on applicant details such as income, credit
history, and loan amount. Utilized classification algorithms to achieve accurate predictions. Performed data pre
processing, feature engineering, and model evaluation to enhance performance
provide reliable health information. The chatbot answers FAQs, offers personalized prevention techniques, and
assesses symptoms to determine if a medical consultation is necessary. This initiative aims to reduce unnecessary
doctor visits and ensure timely access to trustworthy health guidance. Prediction of various diseases as per
symptoms provided by users along with recommendation of doctors for the same disease is also implemented to
ease the medical consultation for the user.
2. Developed a real-time weather analysis stream using Hive, PySpark, Kafka and AirFlow. Developed ETL
pipelines for data ingestion, transformation and storage, enabling real-time streaming and automated workflows for
accurate forecasting.
3. Developed a machine learning model to predict loan approval based on applicant details such as income, credit
history, and loan amount. Utilized classification algorithms to achieve accurate predictions. Performed data pre
processing, feature engineering, and model evaluation to enhance performance