Vipanshu Kumar Suman

PriorityPulse is a digital task management platform designed to help users organize and prioritize their to-do lists online. It offers a user-friendly interface for task input and display, with backend functionality for managing tasks securely and efficiently.

• User interface design completed with HTML & CSS
• Backend API developed using Flask/Django for handling task data
• Task management functionalities implemented: add, update, delete, and categorize tasks
• Real-time updates and notifications integrated to keep users informed

The Image Caption Generator is a web application that generates descriptive captions for uploaded images using advanced language-vision models. Built with OpenAI and Hugging Face Transformers, the tool leverages machine learning to deliver accurate and context-aware image descriptions.

• Streamlit-based UI for seamless image upload and live caption display
• Integrated OpenAI and Hugging Face BLIP models for caption generation
• Image processing handled locally using PIL for model compatibility
• Real-time caption generation and CSV export functionality with Pandas

The Health Monitoring and Assistance Web App provides users with convenient tools for tracking their health and receiving support and guidance. It integrates self-collected smartwatch data for health management and generates insightful health charts to empower users with valuable information.

• User interface created with HTML & CSS for health data input and visualization
• Backend developed using FastAPI to handle data processing and real-time monitoring
• Integration of smartwatch data for health tracking and analysis
• Real-time health charts generated to provide users with actionable insights

The Weather Monitoring System utilizes robust sensors to collect real-time weather data. It analyzes weather trends, stores historical data, and provides alerts for extreme weather conditions to ensure timely notifications for users.

• IoT system built with ESP8266 for control and data processing
• Temperature, humidity, and atmospheric pressure data collected using DHT11 and BMP180 sensors
• Real-time data transmission enabled via Wi-Fi module for monitoring and alerts
• Data stored and visualized using ThingSpeak API for weather trend analysis

A dynamic resume generation tool that produces professional LaTeX-formatted resumes with AI-driven content structuring and optimization. Built with a focus on efficiency and customization, it streamlines resume creation for users with minimal effort.

• User interface built with Streamlit for seamless form-based input
• Backend uses Jinja2 to dynamically generate LaTeX templates based on user data
• Real-time PDF generation and instant download functionality
• AI-enhanced formatting ensures clean, recruiter-friendly layout with minimal manual editing

The IMDB Movie Review Sentiment Analysis project uses machine learning techniques to classify movie reviews as either positive or negative. The system processes text data, trains a model using the IMDB dataset, and provides real-time sentiment predictions.

• Sentiment analysis model built using LSTM (Long Short-Term Memory) networks for sequence prediction
• Reviews preprocessed with text tokenization and padding for compatibility with the model
• Model trained using a labeled IMDB dataset, achieving binary sentiment classification (positive or negative)
• Real-time sentiment predictions deployed through a user-friendly Gradio interface for ease of use