Case Studies
Multi-Format AI Processing System
Mar 2025 – June 2025
A multi-agent AI system that intelligently processes and routes PDFs, JSON, and emails to specialized agents for efficient data extraction and analysis. Built with a React.js frontend and a FastAPI backend, integrating OpenAI API, Redis/SQLite, and PyPDF2 for seamless and intelligent document handling.
Engagement
12 min
User Satisfaction
4.5
Multi-Format AI Processing System
Mar 2025 – June 2025
A multi-agent AI system that intelligently processes and routes PDFs, JSON, and emails to specialized agents for efficient data extraction and analysis. Built with a React.js frontend and a FastAPI backend, integrating OpenAI API, Redis/SQLite, and PyPDF2 for seamless and intelligent document handling.
Engagement
12 min
User Satisfaction
4.5
Multi-Format AI Processing System
Mar 2025 – June 2025
A multi-agent AI system that intelligently processes and routes PDFs, JSON, and emails to specialized agents for efficient data extraction and analysis. Built with a React.js frontend and a FastAPI backend, integrating OpenAI API, Redis/SQLite, and PyPDF2 for seamless and intelligent document handling.
Engagement
12 min
User Satisfaction
4.5
AirFlow Canvas using OpenCV
Jan 2025 – Mar 2025
AirFlow is a Python-based virtual painting tool that uses MediaPipe and OpenCV for real-time hand gesture tracking, enabling users to draw, undo, and redo strokes using webcam-detected gestures.
Usability
85%
User Satisfaction
4.5
AirFlow Canvas using OpenCV
Jan 2025 – Mar 2025
AirFlow is a Python-based virtual painting tool that uses MediaPipe and OpenCV for real-time hand gesture tracking, enabling users to draw, undo, and redo strokes using webcam-detected gestures.
Engagement
12 min
User Satisfaction
4.5
AirFlow Canvas using OpenCV
Jan 2025 – Mar 2025
AirFlow is a Python-based virtual painting tool that uses MediaPipe and OpenCV for real-time hand gesture tracking, enabling users to draw, undo, and redo strokes using webcam-detected gestures.
Usability
85%
User Satisfaction
4.5
Airline Ticket Price Analysis
Jan 2024 – Apr 2024
A data analysis tool that uses Selenium to scrape live Indian airline ticket prices and applies Pandas, Matplotlib, and Seaborn to uncover pricing trends through exploratory analysis and visualizations.
Usability
89%
User Satisfaction
4.6
Airline Ticket Price Analysis
Jan 2024 – Apr 2024
A data analysis tool that uses Selenium to scrape live Indian airline ticket prices and applies Pandas, Matplotlib, and Seaborn to uncover pricing trends through exploratory analysis and visualizations.
Usability
85%
User Satisfaction
4.5
Airline Ticket Price Analysis
Jan 2024 – Apr 2024
A data analysis tool that uses Selenium to scrape live Indian airline ticket prices and applies Pandas, Matplotlib, and Seaborn to uncover pricing trends through exploratory analysis and visualizations.
Usability
89%
User Satisfaction
4.6
Training and Placement DBMS
Jul 2024– Oct 2024
A project built with HTML, CSS, Flask, and SQLite to manage student profiles, academic records, coding scores, and placement data—streamlining training and placement operations with structured analytics and branch-wise insights. Additionally, it provides structured views of branch-wise placement statistics, making the system efficient for decision-making and analysis.
Engagement
10 min
User Satisfaction
95%
Training and Placement DBMS
Jul 2024– Oct 2024
A project built with HTML, CSS, Flask, and SQLite to manage student profiles, academic records, coding scores, and placement data—streamlining training and placement operations with structured analytics and branch-wise insights. Additionally, it provides structured views of branch-wise placement statistics, making the system efficient for decision-making and analysis.
Engagement
12 min
User Satisfaction
4.5
Training and Placement DBMS
Jul 2024– Oct 2024
A project built with HTML, CSS, Flask, and SQLite to manage student profiles, academic records, coding scores, and placement data—streamlining training and placement operations with structured analytics and branch-wise insights. Additionally, it provides structured views of branch-wise placement statistics, making the system efficient for decision-making and analysis.
Engagement
10 min
User Satisfaction
95%
AIML Developer and expert in
Python
Python
Python
Python
Python
with industry experience.
Expertise extends to
Full stack Development
Full stack Development
Full stack Development
Full stack Development
Full stack Development
enabling to create
both aesthetically
User- Friendly implementable agent and Websites.
Currently works as
Web developer
Web developer
Web developer
Web developer
Web developer
at Opportive.
AIML Developer and expert in
Python
Python
Python
Python
Python
with industry experience.
Expertise extends to
Full stack Development
Full stack Development
Full stack Development
Full stack Development
Full stack Development
enabling to create
both aesthetically
User- Friendly implementable agent and Websites.
Currently works as
Web developer
Web developer
Web developer
Web developer
Web developer
at Opportive.
AIML Developer and expert in
Python
Python
Python
Python
Python
with industry experience.
Expertise extends to
Full stack Development
Full stack Development
Full stack Development
Full stack Development
Full stack Development
enabling to create
both aesthetically
User- Friendly implementable agent and Websites.
Currently works as
Web developer
Web developer
Web developer
Web developer
Web developer
at Opportive.