Complete banking system with account creation, transactions, and admin monitoring.

Detects fake reviews and ranks products using DeBERTa semantic analysis.

Full-stack learning platform with Razorpay integration for course monetization.

Django-based platform with email authentication and real-time results.

NLP chatbot answering student queries about admissions and timetables.

Uses Cosine Similarity to detect similarity in academic research papers.

Flask app using Decision Trees to predict student placement outcomes.

Full-stack D2C solution for a shoe brand using React and Node.js.

Transforms room photos into photorealistic interior renders using Stable Diffusion.

Integrates demand forecasting, churn prediction, and inventory management.

ML-powered fraud detection (99.6% accuracy) using Random Forest and XGBoost.

NLP app using LSTM to classify YouTube comments (Positive/Negative/Neutral).

Uses 11 ML models to forecast gold prices with a 99.99% accuracy rate.

Analyzes magnitude and location for tsunami risk using Gradient Boosting.

NLP system that extracts skills and ranks candidates using TF-IDF and spaCy.

Uses 8 ML models to predict best-fit job roles with up to 99%+ accuracy.

ML system utilizing TF-IDF and Random Forest on 44,000+ articles.

Forecasts PM2.5 levels for Indian cities using Random Forest.

Predicts industry salaries with 97.47% accuracy using data science.

Uses 5 ML algorithms to analyze trends and predict future stock prices.

Regression-based app for predicting real estate prices with Flask.

NLP-powered system for real-time news categorization and filtering.

Analytics tool for Indian cities using heatmaps and predictive ML.

Predicts ticket prices based on routes and airlines using Random Forest.

Healthcare AI using 45,000 records to predict risk with 99.5%+ accuracy.

CNN-based diagnostic system detecting 24 skin diseases from images.

Cybersecurity project classifying network attacks with 99.89% accuracy.

Calculates travel routes based on real-time pollution levels and air quality.

Analyzes interactions for 1000+ medicines using the DrugBank 6.0 database.

Integrates YOLOv8 and GPS tracking for real-time emergency coordination.

Deep learning project using VGG16/ResNet50 for MRI scan analysis.

Analyzes 16 medical parameters for cardiovascular risk assessment.

Flask app trained on 100K+ records for real-time risk analysis.

Compares 7 ML algorithms (XGBoost, SVM, etc.) for clinical diagnosis.

Predicts patient risk by analyzing vital parameters like heart rate and BP.

Optimizes irrigation and detects crop diseases using sensor data.

Hybrid Quantum-Classical AI for medical signal analysis.

Flutter mobile app for organizing applications with SQLite and PDF export.

Flutter app with Razorpay integration and real-time order tracking.

Local database recipe management app built with Flutter and Hive.

Finance app with animated summaries and savings goals.

Platform for booking home maintenance and professional repair services.

Real-time traffic monitoring and license plate recognition system.

XGBoost-based web app predicting real-time customer retention risks.

Flask-based middleware for verifying Ethereum transactions and recipient identity.

Real-time fraud detection for UPI transactions with 99%+ accuracy.

CNN-based system to identify forged documents and AI-generated images.

Detects spyware in real-time through behavioral analysis and system monitoring.

CNN-based model for live webcam signature authentication.