Raviteja Bommireddy

Research Assistant & AI Enthusiast

B.Tech Computer Science with AI specialization at IIITDM Kancheepuram. Passionate about multilingual NLP, computer vision, and building AI solutions that bridge linguistic divides and serve underrepresented communities.

Raviteja Bommireddy

About Me

My fascination with how language and data shape human understanding has always guided me. I find joy not just in building models, but in uncovering insights, solving meaningful problems, and exploring the unknown. It is this curiosity, not titles or accolades, that drives me.

Currently working as a Research Assistant at IIITDM Kancheepuram, I'm developing a multi-modal fake news detection model that integrates text and image data across 10+ Indian regional languages. This work has shown me that data science is not just about performance, but also about representation, accessibility, and responsibility.

I believe technology should adapt to people, not the other way around. My goal is to develop tools that empower speakers of underrepresented languages and bridge linguistic divides in AI systems.

Current Research

Multi-modal Fake News Detection

Developing a comprehensive fake news detection system that seamlessly integrates text and image analysis across 10+ Indian regional languages, leveraging cutting-edge pre-trained models like m-BERT and XLM-RoBERTa.

NLP Computer Vision Multilingual AI Transfer Learning

Technical Expertise

Programming

Python SQL C++ Git LaTeX

AI/ML

TensorFlow PyTorch Scikit-learn NLTK OpenCV

Specializations

NLP Computer Vision Data Science Deep Learning

Professional Experience

My journey in research and industry, focusing on AI, NLP, and data science applications.

Research Assistant

IIITDM Kancheepuram Chennai, India May 2024 - Present
Research
  • Developed a multi-modal fake news detection model, seamlessly integrating text and image data across 10+ Indian regional languages for comprehensive analysis.
  • Leveraged cutting-edge pre-trained models like m-BERT, XLM-RoBERTa and other diverse models, applying transfer learning and fine-tuning to achieve significant performance improvements on regional language datasets.
  • Conducted rigorous model evaluation using statistical metrics and performance benchmarks, achieving state-of-the-art results and ensuring the model's reliability across real-world applications.
  • Added functionality allowing users to send images to the model for fake news detection, leveraging pre-trained Hugging Face models with 93% accuracy.

Key Technologies & Skills:

NLP Computer Vision Transfer Learning m-BERT XLM-RoBERTa Multilingual AI

Data Scientist & Data Analyst Intern

Cipher Byte Technologies Remote Mar 2024 - Apr 2024
Internship
  • Streamlined ETL workflows to extract, transform, and load regional unemployment data, enhancing accuracy with VLOOKUP to link datasets and providing real-time, multidimensional insights for targeted interventions and strategic decision-making.
  • Boosted model accuracy by 0.3% through feature fine-tuning using OLAP data, aiding in precise unemployment trend predictions for targeted skill development programs.
  • Built and deployed ML models to predict regional unemployment trends, providing real-time insights for strategic decision-making.

Key Technologies & Skills:

Data Science ETL Machine Learning OLAP Data Analysis Predictive Modeling

Education

Bachelor of Technology in Computer Science - AI

Indian Institute of Information Technology Chennai Aug 2023 - June 2027

Specializing in Artificial Intelligence with comprehensive coursework in machine learning, data science, and AI applications.

Relevant Coursework:

Artificial Intelligence Machine Learning Statistics & Probability Database Systems Applied Data Science Optimization Techniques

Publications

Research papers, conference proceedings, and academic contributions.

Publications Coming Soon

Currently working on research papers related to multilingual fake news detection and multimodal AI systems. Publications will be updated here as they become available.

In Progress
Research Collaboration

Upcoming Research

Multi-modal Fake News Detection for Low-Resource Languages

Research on developing comprehensive fake news detection systems for Indian regional languages, integrating text and image analysis using transformer-based architectures.

Status: Under Development | Expected: 2024-2025

Projects

A showcase of my academic and research projects spanning AI, ML, NLP, Computer Vision, and Data Science.

GazeGuard: Intelligent Exam Surveillance System

Computer Vision

Real-time gaze and head pose detection system using OpenCV, DLIB, and deep learning to monitor user behavior during exams and interviews, achieving 90%+ accuracy in gaze detection.

Key Features:

  • Integrated YOLOv8, v12 based mobile detection to identify phone usage and distractions
  • Real-time alerts and automatic screenshot capture
  • Interactive dashboard displaying behavioral analysis with 95% accuracy
  • Successfully tested with computer exams at IIITDM

Technologies:

OpenCV DLIB YOLOv8 Deep Learning Computer Vision

MedVision: Self-supervised Learning for Medical Images

Computer Vision & Healthcare

Advanced medical image analysis using contrastive learning techniques (SimCLR, MoCo) for extracting high-quality features without requiring large labeled datasets.

Key Features:

  • Implemented contrastive learning for medical image feature extraction
  • Specialized image augmentation strategies for medical imaging tasks
  • Achieved 87% IoU for tumor detection
  • 92% improvement in feature extraction efficiency

Technologies:

SimCLR MoCo PyTorch Medical Imaging Self-supervised Learning

IIITConnect: AI-Powered Campus Chatbot

Natural Language Processing

Intelligent, multi-platform chatbot for IIIT Kancheepuram using Dialogflow, streamlining student interactions and providing real-time responses to academic queries.

Key Features:

  • Advanced NLP techniques with Dialogflow integration
  • Multi-platform support reducing manual workload by 30%
  • Dynamic data fetching through custom webhooks
  • Real-time information on admissions, courses, and campus events

Technologies:

Dialogflow NLP Webhooks API Integration Chatbot Development

News Article Text Summarization

Natural Language Processing

Advanced news summarization system using T5 Transformer and text-ranking algorithms, reducing article length by 60% while maintaining key information.

Key Features:

  • Built using T5 Transformer and text-ranking algorithms
  • 45% improvement in summarization accuracy over traditional models
  • Real-time interactive interface using Streamlit
  • Evaluated with ROUGE scores for quality assurance

Technologies:

T5 Transformer Streamlit ROUGE Text Processing NLP

Real-Time Object Detection for Traffic Monitoring

Computer Vision

YOLOv11 implementation for real-time vehicle and pedestrian detection in traffic video streams, achieving 95% accuracy in classification.

Key Features:

  • Real-time vehicle and pedestrian detection with 95% accuracy
  • Integrated with Raspberry Pi for edge computing
  • 98% detection rate with low-latency processing
  • 30% reduction in computational overhead

Technologies:

YOLOv11 Raspberry Pi Edge Computing Real-time Processing

AirGuard: Air Quality Prediction

Data Science & Environmental

Comprehensive air quality prediction system processing 40,000+ records from multiple sources to forecast AQI levels with 92% accuracy.

Key Features:

  • Integrated real-time data from 3+ sources
  • Advanced ML algorithms including Random Forest and XGBoost
  • 92% prediction accuracy with 15% error reduction
  • Comprehensive data preprocessing and feature engineering

Technologies:

Random Forest XGBoost Data Processing Environmental Data

Anomalyze: Time Series Anomaly Detection

Data Science & Analytics

Advanced time series analysis system detecting real-time anomalies with 95% accuracy in noisy and mislabeled datasets.

Key Features:

  • Real-time anomaly detection with 95% accuracy
  • ARIMA and Prophet models for time series forecasting
  • 40% reduction in processing time
  • Automated resource management workflows

Technologies:

ARIMA Prophet Time Series Analysis Anomaly Detection

Explore More Projects

Visit my GitHub profile to see more projects, code repositories, and contributions to open source.

View GitHub Profile

News & Updates

Latest updates on my research, projects, and professional journey in AI and data science.

Started Research on Multilingual Fake News Detection

May 2024 Research

Began working as a Research Assistant at IIITDM Kancheepuram, focusing on developing a multi-modal fake news detection system for Indian regional languages.

Research NLP Multilingual AI

Completed Data Science Internship

April 2024 Career

Successfully completed internship at Cipher Byte Technologies, working on unemployment trend prediction models and ETL workflows.

Internship Data Science Machine Learning

GazeGuard Project Implementation

March 2024 Project

Developed and successfully tested an intelligent exam surveillance system using computer vision techniques at IIITDM campus.

Computer Vision Academic Project Innovation

Advanced Certifications Completed

February 2024 Education

Completed multiple professional certifications including Google Data Analytics, DeepLearning.AI specializations, and Stanford ML course.

Certification Professional Development Learning

IIITConnect Chatbot Launch

January 2024 Project

Successfully deployed AI-powered campus chatbot for IIIT Kancheepuram, improving student support services and reducing manual workload by 30%.

NLP Chatbot Campus Innovation

Research Paper in Progress

December 2023 Research

Currently working on research paper focusing on self-supervised learning techniques for medical image analysis and multilingual NLP applications.

Research Medical AI Publication

Upcoming

More Updates Coming Soon

Stay tuned for updates on research publications, conference presentations, and new project developments.

Brainstorm & Collaborate

Let's explore ideas, discuss research opportunities, and collaborate on meaningful AI projects that can make a positive impact on society.

Areas of Interest

Multilingual AI Ethics

Exploring ethical considerations in developing AI systems for low-resource languages and ensuring fair representation.

Bias in NLP Cultural Sensitivity Language Preservation Inclusive AI

Multimodal Learning

Investigating novel approaches to combine text, image, and audio data for comprehensive AI understanding.

Cross-modal Learning Fusion Techniques Representation Learning Zero-shot Learning

AI for Social Good

Brainstorming applications of AI technology to address societal challenges and improve quality of life.

Healthcare AI Education Technology Environmental Monitoring Accessibility Tools

Research Collaboration

Open to discussing potential research collaborations and interdisciplinary projects.

Joint Research Data Sharing Methodology Exchange Publication Opportunities

Open Discussion Topics

Self-supervised learning in low-resource settings
Contrastive learning for medical image analysis
Transfer learning across linguistic families
Evaluation metrics for multilingual models
Edge computing for real-time AI applications
Federated learning for privacy-preserving AI
Explainable AI in critical applications
AI model compression and optimization

Collaboration Opportunities

Research Partnerships

Interested in collaborating on research projects related to multilingual NLP, computer vision, or AI ethics. Open to both academic and industry partnerships.

Knowledge Exchange

Happy to share insights on my research areas and learn from others working on similar problems. Let's build a community of responsible AI researchers.

Informal Discussions

Always up for a coffee chat about AI, research methodologies, or the future of technology. Sometimes the best ideas come from casual conversations.

Let's Start a Conversation

Have an interesting idea or want to discuss potential collaboration? I'd love to hear from you and explore how we can work together.