Deepanshu Puri

Aspiring AI Engineer with an interdisciplinary background and hands-on experience through multiple projects addressing

real-world problems. Strong interest in designing, training, and applying AI systems to build practical, optimized solutions

with real impact.

EVAC – Smart EV Charging Monitoring Application 

• Developed a cross-platform mobile application to monitor and control EV charging sessions in real time.

• Implemented animated visualizations for battery percentage, power, voltage, and current using SVG and Lottie.

• Integrated backend APIs for charger status, transaction handling, and live session data retrieval.

Traffic Sign Recognition System

• Built a computer vision pipeline to classify traffic signs using convolutional neural networks.

• Applied image preprocessing and data augmentation to improve robustness and classification accuracy.

• Evaluated model performance using validation metrics and confusion matrix analysis.

Stock Price Prediction Using LSTM

• Implemented an LSTM-based deep learning model for stock price time-series forecasting.

• Preprocessed and normalized historical financial data to generate sequential model inputs.

• Visualized predicted versus actual prices to assess forecasting performance and limitations.