đź“Ť VIT

Hi, I'm Garv Anand

Student

B.Tech CSE (AI/ML) student with expertise in deep learning, computer vision, and full-stack development. Currently working as GenAI Solution Developer Intern at ROVA, building vision-parsing pipelines with cutting-edge AI technologies.

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Neural Network

My way of Visualization

CGPA
8.83/10
CodeChef Rating
1537

Technical Expertise

Comprehensive skill set spanning AI/ML technologies and modern development frameworks

0/5
Strategic Thinking
0/5
Speed
1/5
Problem Solving
0/5
Flexibility

AI/ML Frameworks

TensorFlow
85%
PyTorch
85%
Scikit-learn
90%
Keras
90%
OpenCV
85%
Hugging Face
80%

AI Mission Control

Interactive challenges and live inference tools to explore how I approach AI/ML systems

AI Mission Control

Hyperparameter Challenge

Tune the sliders to reach the mission target: ≥90% accuracy and ≤60ms latency.

0.010
120
32

Live Sentiment Probe

Paste a sentence and see the rule-based sentiment analysis in real time (lexicon scoring + confidence).

Explorer XP20/100

Complete missions and run inferences to unlock new badges.

Unlocked Badges
Explorer
Mission Tips
  • • Higher epochs boost accuracy but add latency.
  • • Smaller learning rates stabilize performance.
  • • Larger batch sizes reduce latency variance.

Project Contributions

Detailed breakdown of my development projects with real metrics and technologies used

Deep Learning

Multimodal Speech Emotion Recognition

June 2025 - Present

AI Research

Advanced Parkinson's Detection

Jan 2025 - Feb 2025

Full-Stack

VITAL-AI

Feb 2025 - Mar 2025

Software Development

Document Approval System

June 2025 - July 2025

Multimodal Speech Emotion Recognition

June 2025 - Present

In Progress

Technologies Used

Bi-LSTM
Transformers
CNNs
RNNs

Project Metrics

0%
Accuracy/Success Rate
0
Lines of Code
0
Git Commits

Dataset/Data Source

RAVDESS + CREMA-D

Development Progress

Planning
Development
Testing
Deployment

Live GitHub Activity

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Featured Projects

Showcasing innovative solutions that blend AI/ML expertise with modern web development

Multimodal Speech Emotion Recognition
AI/ML
Multimodal Speech Emotion Recognition
Built a multimodal deep learning framework aimed at enhancing student engagement and actionable insights in virtual classrooms. The system integrates Bi-LSTM, CNN, and Transformer-based architectures to effectively extract and analyze emotional cues—acoustic, semantic, and linguistic—from both voice and video data. Leveraged the RAVDESS and CREMA-D datasets.
RNNs
TensorFlow
LSTM
CNNs
Transformers
NLP
Flask
React
CodeDemo
VITAL-AI
Full Stack
VITAL-AI
Developed a comprehensive platform during a HackByte 3.0 at IIITDM Jabalpur that combines daily health monitoring (Google Fit sync, water and fasting trackers) with real-time disease risk prediction using Random Forest models. Designed intuitive UI dashboards and Flask APIs to visualize health trends, flag risks, and recommend doctor visits based on combined vitals and diagnostic results.
Next
Flask
Supabase
Gemini API
Tailwind
Machine Learning
CodeDemo
Document Approval System
Software Development
Document Approval System
Built a platform to streamline the university’s document approval process by enabling online submission, tracking, and feedback—cutting approval time from days to hours and eliminating repeated physical visits.
React
CSS
Firebase
CodeDemo
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