I'm Vishwesh Pal Saini, a passionate Final year AI/ML student with a keen interest in developing innovative tech solutions. My journey in technology began with a curiosity to understand how things work, which quickly evolved into a drive to create impactful projects. I’ve worked on various applications, including a COVID-19 Patients Management System designed to help hospitals manage patient data, assess symptoms, and streamline resource allocation during the pandemic. I also developed CropAI, a web-based tool that predicts plant diseases using AI, providing farmers with actionable insights.
0 + Projects completed
Final year undergrad and an AI/ML enthusiast working on Real Life problems as well as very much interested in participating in Hackathons.
Grade-12th (2022) Percentage: 88.8%
Grade-10th (2020) Percentage: 90.2%
CGPA (until 5th Sem): 8.56
Below are my AI/ML and development projects.
const project = {
name: 'Gene Forge',
tools: ['DNABERT', 'FastAPI', 'PyTorch'],
description: Developed a DNA sequence optimization system; improved similarity scores of sequences by 15%.
};
const project = {
name: 'Crop AI',
tools: ['TensorFlow', 'Flask', 'Vercel'],
description: Built a web app and API for plant disease detection; achieved 92% accuracy on benchmark dataset and deployed on Vercel.
};
const project = {
name: 'Expense Tracker',
tools: ['Python', 'OCR', 'QR Code Generation'],
description: Python app with OCR for scanning bills, automated categorization, and QR code generation; reduced manual logging time by 40%.
};
const project = {
name: 'COVID-19 Hospital Management System',
tools: ['Python', 'MySQL'],
description: Python + MySQL system for managing patients, staff, and symptoms; automated records management, reducing manual workload by 50%.
};
const project = {
name: 'Life-Span Detection',
tools: ['Machine Learning'],
description: Machine learning model predicting human lifespan from health and lifestyle factors; achieved R2 score of 0.81 on validation data.
};
const project = {
name: 'Fraud Detection ML Model',
tools: ['Random Forest', 'Feature Engineering'],
description: Built a Random Forest model with feature engineering to detect anomalies in financial transactions; achieved F1 Score of 0.87 and ROC-AUC of 0.92.
};
Below are some certificates.
Certified Internship in Artificial Intelligence – Internship Studio. Developed a Face Recognition Model with 90%+ accuracy.
EY Climate Change & Sustainability Virtual Experience (Forage, 2025) - Conducted ESG benchmarking and prepared strategic presentation aligning with EY's CCASS framework.
Hands-on with OpenAI API, mastering prompt design, summarization, and AI-powered application building.
Below are the details to reach out to me!
Chennai, Tamil Nadu, India