Pradyumna Yadav

Electronics and Communication Engineering Mobile No. 9893569895

pradyumna.aky@gmail.com ¥ è õ

Portfolio Website

Education

IIIT Naya Raipur

Degree Year of Graduation CPI

B.Tech 2023 8.25

Technical Projects

Personal Projects

• Accident Detection in real-time video : This project demostrates Spatio-Temporal Autoencoders to

detect accident in real time using 3D Convolution and LSTM layers. ¥

• Detection of Deepfakes : Used transfer learning to train two models, InceptionResnetv2 and VGG16

to detect presence of DeepFakes in a video. ¥

• Content Based Filtering : Built a music recommendation engine using content based ﬁltering technique

with K-Means clustering. ¥

• Fake News Detection App : Built a Fake News Detection App using LSTM to classify whether News is

fake or not. The model was deployed on GCP as an endpoint and the app was containerized and deployed

using Cloud-Run. ¥

Hackathon Projects

• Sign : In a team of three, built a sign language decoding app using CNN, which is useful for interaction

with verbally impaired person. ¥ ~

• Emosong : Built a facial sentiment detecting app using CNN, which suggests playlist based on user’s

emotion, also helps users to interactively chat with similar users matched on the emotion. ¥

• AskDoc : Built a voting ensemble model and deployed a webapp which based upon user’s symptom

determines most probable disease and suggests nearby hospitals. ¥ ~

• Highlightem :A chrome extension that highlights most relevant items based on your search. Similarity

between the items were found using cosine metrics. ¥

Currently compatible on Platforms like Amazon, Flipkart, Bigbasket.

Technical Skills

• Programming Languages: C++, Python, CUDA

• Machine Learning Libraries: Numpy, Pandas, Scikit, Matplotlib, Seaborn, Tensorﬂow, Keras, NLTK,

OpenCV

• Frameworks: Django, Flask

• Cloud Platform: GCP

Skills and Interests

• Medium Blog writer under the publication of Analytics Vidhya. õ