Projects
1. NeuraChat AI Chatbot (2024)
Tech: Python, LangChain, LLMs, Streamlit, OpenRouter GitHub: github.com/Codeabhi096
- Built a context-aware conversational AI chatbot using LLMs with multi-language support, prompt optimization, and session memory
- Achieved 40% improvement in response relevance through advanced prompt engineering
- Integrated OpenRouter for LLM API routing across 5+ model providers
- Reduced API latency by 35% and enabled seamless switching between OpenAI and open-source LLMs
2. Disease Prediction App (2024)
Tech: Python, Machine Learning, Deep Learning, CSS, Streamlit GitHub: github.com/Codeabhi096/DiseasePredictionApp Stars: 5 ⭐
- Built a machine learning-powered web application for early detection of Diabetes and Skin Diseases
- Leveraged deep learning and classification algorithms for accurate predictions
- Users can input medical data to get instant health risk assessment
- Designed clean UI for easy use by non-technical users
3. AI Voice & Gesture Control System (2024)
Tech: Python, OpenCV, Deep Learning, NLP
- Developed a real-time Human-Computer Interaction (HCI) system combining computer vision and NLP
- Achieved 92% gesture recognition accuracy with under 100ms inference latency on live webcam input
- Combined voice commands and hand gestures for seamless system control
4. AI-Based Smart Examination System (2024)
Tech: Python, OpenCV, YOLO, Flask, NLP
- Designed an intelligent proctoring platform using YOLO object detection and NLP
- Detected 95%+ misconduct cases accurately in real-time
- Built multi-feed monitoring system with automated analytics reporting
- Helps institutions conduct fair online examinations
5. Diabetes Prediction Web App
Tech: Python, Streamlit, Machine Learning, Jupyter Notebook GitHub: github.com/Codeabhi096/Diabetes_pridiction_webapp Stars: 4 ⭐
- ML web app that predicts likelihood of diabetes based on health parameters
- Users input medical data like glucose levels, BMI, age for instant prediction
- Built with Streamlit for clean, interactive UI
6. California Housing Price Prediction
Tech: Python, XGBoost, Streamlit, Jupyter Notebook GitHub: github.com/Codeabhi096/California-Housing-Price-Prediction Stars: 4 ⭐
- Predicts California housing prices using XGBoost Regressor
- Trained on California Housing dataset with high accuracy
- Deployed as interactive Streamlit web application
7. Algo Trading System
Tech: Python GitHub: github.com/Codeabhi096/Algo-Trading-System- Stars: 4 ⭐
- Python-based mini algorithmic trading system
- Fetches daily stock data for multiple NIFTY 50 stocks
- Applies RSI + Moving Average crossover trading strategy
- Logs trade signals and performance automatically
8. Customer Churn Prediction
Tech: Python, Jupyter Notebook, Machine Learning GitHub: github.com/Codeabhi096/customer-churn-prediction Stars: 4 ⭐
- Predicts customer churn for businesses using classification algorithms
- EDA-driven feature engineering for improved model performance
9. AI Brainstorm Tool
Tech: Python GitHub: github.com/Codeabhi096/ai_brain_storm Stars: 4 ⭐
- AI-powered brainstorming assistant
- Helps generate ideas and creative solutions using LLMs