Bivia Therese Manoj

ECE final year student with a minor in Artificial Intelligence and Data Science having a great interest in the machine learning, artificial intelligence and a solid foundation in analytical reasoning and structured problem solving. Demonstrates strong communication skills and the ability to understand and explain complex concepts clearly. Motivated to learn and apply knowledge to real-world challenges.

• ISAC for Autonomous Vehicles using OFDM (Major Project) -Oct'25-March'26
• OFDM-based ISAC system enabling joint radar sensing and vehicular communication for autonomous vehicles.
• Implemented the communication module using IEEE 802.11p framework with SAE J2735 BSM messages and analyzed performance.
• Implemented OFDM waveform-based radar sensing for object detection and integrated it with the communication module.
• Evaluated joint sensing and communication performance.
• Tech Stack :Matlab
• MechOnCall -Workshop finder app (Personal Project) -June '25
• Designed and developed a full-stack web application to connect vehicle owners with nearby workshops for service tracking, emergency support (breakdown/accident) and real-time slot booking.
• The platform features separate dashboards for customers and workshop owners, enabling users to manage vehicle details, track service history and book appointments seamlessly.
• Integrated Firebase/Firestore for real-time management of vehicle data, workshop availability and booking records.
• Tech Stack Python, Streamlit, Firebase (Firestore & Auth)
• AI-based cyberbullying detector (Minor mini project)- Oct'25-Dec'25
• Developed a machine learning-based text classification system to detect cyberbullying content using Natural Language Processing techniques.
• Performed data preprocessing including tokenization, text normalization and removal of noise .
• Extracted features using TF-IDF vectorization with n-grams, improving contextual text representation.
• Trained and evaluated a Logistic Regression model, achieving 89.34% accuracy on classification tasks.
• Built an end-to-end ML pipeline covering data cleaning, feature engineering, model training and evaluation.
• Deployed the solution as a web application for real-time text analysis and prediction.
• Smart Orthotic Insole (Mini Project):

• HackerRank - Python
• NPTEL Introduction to Machine Learning
• NPTEL Artificial Intelligence: Knowledge Representation And Reasoning

• English
• Malayalam
• Hindi