Vipanshu Kumar Suman
He is a B. Tech Computer Science Engineering student at IPS Academy, Indore, with a profound interest in machine learning, and IoT systems. Driven by a passion for technological innovation, he thrives on addressing complex real-world challenges and is committed to the pursuit of knowledge and excellence.
Skills & Qualifications
- ✔️ Strong understanding of data structures, algorithm design, and optimization for time and space complexity.
- ✔️ Skilled in full-stack web development with Flask, Django, and FastAPI.
- ✔️ Experienced in designing responsive UIs with HTML and CSS.
- ✔️ Proficient in integrating third-party APIs like OpenAI for machine learning tasks.
- ✔️ Hands-on experience with IoT design using ESP8266 and sensors like DHT11 and BMP180.
- ✔️ Strong in data analysis and visualization for actionable insights.
- ✔️ Knowledgeable in database development and management.
- ✔️ Proficient in Git and GitHub for version control and project management.
- ✔️ Experienced in efficient data management and storage.
Tech stack
Education
🏫 Bachelor of Technology in Computer Science
- IPS Academy, Indore, India
- IPS Academy, Indore, India
- 2022 - 2026
- Pursuing Bachelor's in Computer Science
🏫 Higher Secondary Education
- Golden International School, Indore, India
- 2017 - 2022
- Completed Higher & Secondary Education
Projects
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 uses OpenAI's API to generate descriptive text for images through advanced machine learning models. The platform allows users to upload images, and the system generates accurate and descriptive captions for them.
- User interface developed with HTML & CSS for image uploads
- Backend functionality integrated with OpenAI API for image caption generation
- Descriptive captions sent from backend to frontend for user display
- Real-time processing of images and immediate caption generation
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
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