Welcome to the VIT Bhopal AI Innovators Hub! We are a group of students and professionals passionate about using AI and data science to create positive social impact.
The VIT Bhopal AI Innovators Hub is a community chapter based at the VIT Bhopal University. Our goal is to create a community of students and professionals who are interested in AI and data science for social impact. We organize workshops, hackathons, and projects to explore AI's potential to solve real-world problems.
- Project: Develop an AI-powered resume tailoring system that customizes resumes for specific job applications.
- Objective: Create an intelligent platform that helps job seekers optimize their resumes for better job matching and application success rates.
- Approach: Utilize natural language processing and machine learning algorithms to analyze job descriptions and tailor resumes accordingly with multilingual support.
- Timeline:
- Project Start Date: July 25th, 2025
- Project End Date: August 30th, 2025 (tentative)
- Objective: Monitor water quality in Bhopal region using satellite imagery to reduce cost and improve monitoring process.
- Approach: Conduct data analysis on satellite imagery to extract relevant parameters and identify patterns. Develop a visualization dashboard to present data in a user-friendly manner.
- Goal: Establish a standardized way of collecting real-time data, identify discrepancies, and improve monitoring process for informed decision-making.
- Achievement: Created an open-source water management system with ML for forecasting and real-time monitoring, enhancing resource use and stakeholder capacity.
- Links: Project Site | GitHub
Project 2: Building an AI-Based Road Inspection System for Efficient Maintenance and Repair in India
- Project: Develop a machine learning-based road inspection system using computer vision techniques to detect road abnormalities, defects, and damages in India.
- Objective: Improve road safety and infrastructure in India by automating road inspection, identifying causes for pitfalls, sinks, flooding, and traffic congestion.
- Approach: Use machine learning and computer vision techniques to analyze road conditions and identify areas in need of repair.
- Achievement: Automated pothole detection using ML and image processing, classifying with deep CNNs such as YOLO and visualizing defects in real time.
- Links: Project Site | GitHub
- Objective: Develop a comprehensive water management system for real-time monitoring and forecasting.
- Approach: Utilize machine learning algorithms combined with satellite imagery and GIS techniques for water quality assessment.
- Achievement: Developed a ML system for real-time water quality monitoring in Bhopal, using satellite photos and GIS to detect and address contamination.
- Links: Project Site | DagsHub
- Objective: Improve public transportation accessibility and user experience in Bhopal's BRTS system.
- Approach: Develop an intelligent chatbot system to assist users with navigation and queries related to BRTS.
- Achievement: Developed a web app and chatbot for solving queries related to BRTS in Bhopal.
- Links: Project Site | DagsHub
If you are a student or a professional interested in AI and data science, we welcome you to join us! Here are some ways you can get involved:
- Apply through this form: Form Link
- Join our projects: We collaborate on projects that use AI and data science to create positive social impact. If you are interested in joining one of our projects, reach out to us via mail and let us know.
- Follow us on social media: We share updates about our events and projects on our social media pages. Follow us to stay up-to-date.
If you have any questions or would like to get involved, please reach out to us:
We look forward to hearing from you and working together to create positive social impact with AI and data science!
