BHAVIKA PATIL

Project Name 1: Automatic Towel Dispenser

Worked on AI model training for enhancing automatic operations in devices like the Automatic Towel Dispenser project, utilizing predictive analytics and machine learning.

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

Project Name 2: Chicken Disease Image Recognition System.

Contributed to the Chicken Disease Image Recognition System, automating disease identification using deep learning and image analysis for efficient health monitoring in poultry.

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 model with TensorFlow and machine learning algorithms (SVM, DT, RF) for Data analysis.

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.

Creating a dashboard using Looker Studio and Figma.

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

Technology used: Python, PostgreSQL, Looker Studio, Figma.

Project Name 3: Captcha for India (Bhashini)

Enhancing data collection and verification for Bhashini.

Developing a sound-to-word Captcha solution.

Sourcing relevant data from the AI4Bharat website.

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

Project Name: Intelligent System for Exploring Government Scheme

This web application avoids more manual hours. This System provides information about government schemes. The applicant just need to register into the system and the system automatically suggests him about the schemes in which they fit. Hence the applicant can fill form and take advantage of schemes.

Technology used: Django Framework, PostgreSQL with pgAdmin4, Javascript, HTML5, CSS, Python, Bootstrap