Vidushi Anand

Spearheaded AIML workshops for juniors and led initiatives empowering women in tech and ML within the Devitators Club. Contributed to community development and knowledge sharing.

Received a ₹50K grant for a biodiversity tech solution as part of the Impact Challenge at IIT Madras. Contributed through image annotation and training advanced computer vision models (DETR, Vision Transformer) to detect environmental elements.

Engineered a transformer model from scratch, delivering robust language generation capabilities. Fine-tuned on the WMT 14 dataset for German-to-English translation, surpassing baseline metrics. Designed an interactive Streamlit interface for real-time text generation and analysis.

Developed an interactive platform using the Gemini API, enabling users to debate with LLMs exhibiting distinct personalities. Implemented a judge LLM to evaluate arguments and declare a winner based on logic, coherence, and integrity. Deployed via Streamlit with a dynamic UI, supporting real-time debates and customizable tone settings.

Built a web application with 90% accuracy in tumor detection using deep learning techniques. Optimized Faster R-CNN with ResNet, slashing inference time by 40% through production optimization. Leveraged image annotation tools to create a Streamlit UI for seamless image upload, visualization, and automated preprocessing.

Attained 92% accuracy across 50+ food categories using a custom YOLOv8 model. Trained on 10,000+ annotated images, leveraging transfer learning for efficiency while prioritizing accountability in data management. Implemented an automated calorie estimation algorithm using vision-based analysis.

Achieved >50ms latency in real-time gesture detection with custom tracking algorithms. Ensured 100% accuracy through camera calibration and stabilization techniques. Boosted recognition efficiency 2x with OpenCV & MediaPipe, integrating 5+ interactive tools.

Grade: 8.5 CGPA

Currently pursuing a Bachelor of Technology in Computer Science with a specialization in AI & ML. Focused on applying machine learning, large language models, deep learning, and real-time systems to solve complex challenges.