Projects

Intelligent Information Retrieval via Question Answering

Knowledge Graphs, Graph Neural Networks, Semantic Reasoning

• Explored intelligent information retrieval through question answering by leveraging knowledge graphs and graph neural networks. Incorporated structured semantic relationships and graph-based reasoning to challenge conventional models for improved accuracy and interpretability.

Accident Detection and Developing an Alert System Using Deep Learning

Deep Learning, Computer Vision, GPS Integration, Real-time Detection

• Developed a system to detect accidents from CCTV camera video footage with an integrated alert system. Incorporated GPS functionality to inform authorities about accident locations. Capable of detecting accidents from both live camera feeds and stored footage.

Pneumonia Detection from X-ray Images with Deep Learning

CNN, VGG-16, Transfer Learning, Medical Image Classification

• Built a conventional CNN model to accurately detect pneumonia from chest X-rays. Implemented and compared performance with pre-trained VGG-16 model to classify chest X-rays as normal or pneumonia-positive.

Language Translator using Seq2Seq Model

Encoder-Decoder, Seq2Seq, NLP, Machine Translation

• Designed a French-to-English language translator using an Encoder-Decoder seq2seq architecture. Performed extensive text preprocessing and cleaning to optimize translation accuracy.