| # Projects |
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| ## 1. NeuraChat AI Chatbot (2024) |
| **Tech:** Python, LangChain, LLMs, Streamlit, OpenRouter |
| **GitHub:** github.com/Codeabhi096 |
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| - 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 |
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| ## 2. Disease Prediction App (2024) |
| **Tech:** Python, Machine Learning, Deep Learning, CSS, Streamlit |
| **GitHub:** github.com/Codeabhi096/DiseasePredictionApp |
| **Stars:** 5 ⭐ |
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| - 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 |
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| ## 3. AI Voice & Gesture Control System (2024) |
| **Tech:** Python, OpenCV, Deep Learning, NLP |
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| - 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 |
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| ## 4. AI-Based Smart Examination System (2024) |
| **Tech:** Python, OpenCV, YOLO, Flask, NLP |
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| - 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 |
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| ## 5. Diabetes Prediction Web App |
| **Tech:** Python, Streamlit, Machine Learning, Jupyter Notebook |
| **GitHub:** github.com/Codeabhi096/Diabetes_pridiction_webapp |
| **Stars:** 4 ⭐ |
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| - 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 |
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| ## 6. California Housing Price Prediction |
| **Tech:** Python, XGBoost, Streamlit, Jupyter Notebook |
| **GitHub:** github.com/Codeabhi096/California-Housing-Price-Prediction |
| **Stars:** 4 ⭐ |
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| - Predicts California housing prices using XGBoost Regressor |
| - Trained on California Housing dataset with high accuracy |
| - Deployed as interactive Streamlit web application |
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| ## 7. Algo Trading System |
| **Tech:** Python |
| **GitHub:** github.com/Codeabhi096/Algo-Trading-System- |
| **Stars:** 4 ⭐ |
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| - 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 |
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| ## 8. Customer Churn Prediction |
| **Tech:** Python, Jupyter Notebook, Machine Learning |
| **GitHub:** github.com/Codeabhi096/customer-churn-prediction |
| **Stars:** 4 ⭐ |
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| - Predicts customer churn for businesses using classification algorithms |
| - EDA-driven feature engineering for improved model performance |
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| ## 9. AI Brainstorm Tool |
| **Tech:** Python |
| **GitHub:** github.com/Codeabhi096/ai_brain_storm |
| **Stars:** 4 ⭐ |
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| - AI-powered brainstorming assistant |
| - Helps generate ideas and creative solutions using LLMs |
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