Real-time lane detection for autonomous tractors using YOLOv8
π CSV export of trajectory | πΉ OpenCV integration | π§ AI vision module
π Enabled real-world path planning for semi-autonomous farming
π 3D apple localization using YOLOv8 + Intel RealSense
π§ Fruit detection + robotic pick points estimation
π· Real-time depth estimation for precise targeting
Web-based vehicle number plate recognition using Flask + OCR
π§Ύ Logs entries to SQL | π Search by car type, owner, time
π Reduced manual entry by 50%
Candidate hiring prediction using Decision Trees + Random Forests
π Trained on experience, education, internships & more
πΌ Visualized decision tree with Graphviz | π€ Robust predictions with Random Forest
- π Built Python dashboards (Pandas, Matplotlib) for real-time machine data
- π Integrated YOLOv8 lane detection with semi-autonomous tractor platform
- π§ͺ Improved recognition accuracy & analysis speed by 30%
- π Resolved billing issues using SAP T-codes (FB60, F110, AP110)
- π³ Linked SAP with HDFC Bank β reduced errors by 40%
- π Created monthly reports for finance automation
π B.Tech β DS & AI, SRM University NCR (2020β2024)
π« 12th β CBSE, Adarsh Jain School, Delhi (2020)
β Certifications:
- IBM Data Analysis with Python (Coursera)
- Python 101 for Data Science (Coursera)
- HTML, CSS, Bootstrap Workshop (SRM)
- Excel for Beginners (Coursera)
- βοΈ 25% faster Python data scripts at CNH
- π Real-time lane & object detection system for robotics
- π° SAPβHDFC integration for accurate, fast billing
- π Improved data monitoring speed and automation
"Driven by curiosity. Powered by data. Focused on impact."