BHAVIKA PATIL

As a Junior Python Developer, I've applied my Python and Data Science skills on the below projects, where I've gained proficiency in Python frameworks and database management, contributing to the team’s objectives of developing the system and enhancing the user experience.

Project Name 1: Automatic Towel Dispenser

This project focused on improving the customer experience by forecasting and Automating various operational aspects of Towel Dispensers using data analytics. I worked on data gathering from different inputs from customers and developing a predication on the uses of paper towels. The project aimed to enhance service delivery and operational efficiency at customer locations through predictive analytics.

Technologies Used: Python, SQL, APIs, MS Excel, Python Libraries

Project Name 2: Chicken Disease Image Recognition System

I actively participated in creating an interface and data gathering to develop a Chicken Disease Image Recognition System, an innovative tool designed to automate the identification of various chicken diseases through image analysis. This system helps poultry customers to identify and track their chicken health

Technologies Used: Python, TensorFlow, Keras, PyTorch, Deep Learning, NLP, Streamlit.

Project Name 1: Chatbot for Menstrual Hygiene Prediction System

Addressing women’s hesitation in seeking help or guidance for menstrual hygiene.

Utilizing Natural Language Processing (NLP) and Deep Learning techniques.

Training with TensorFlow and machine learning algorithms (SVM, DT, RF).

Enhancing the user experience through a user-friendly interface (Streamlit).

Project Name 2: Empact NXT (Client Project – Elevar company)

Developing a versatile platform for gaining valuable insights.

Focusing on visually appealing outputs from data analysis.

Gathering data using Python.• Creating a dashboard using Looker Studio and Figma

Collecting data from various sources, including Google Maps and data.gov.in.

Project Name 3: Captcha for India (Bhashini)

Enhancing data collection and verification for Bhashini.

Developing a sound-to-word Captcha solution.

Using Python, BERT, FastAPI, Streamlit, Docker, and a PostgreSQL database.

Sourcing relevant data from the AI4Bharat website.