Developed a web platform to bridge the gap between entrepreneurs and investors, enabling seamless networking and collaboration.

• Tech: Python, Scikit-learn, Custom UI Branding, PostgreSql, JavaScript, HTML, CSS, Api's.
• Key Feature: Predictive modeling for respiratory and heart health impacts based on live AQI data.

Developed an AI-powered platform that transforms sales and customer data into actionable business insights, helping organizations identify high-value customers, predict revenue, and reduce churn.

• Tech: Machine Learning, Deep Learning, Advanced AI Models, JavaScript, HTML, CSS, PostgreSQL, Secure Authentication, Encrypted Storage, APIs.
• Key Features: Customer segmentation and behavior analysis, churn prediction with AI accuracy, revenue forecasting, interactive business dashboards, automated data processing.

⚠️ Currently working on this project - you may not find it fully working

Advanced regression analysis to predict trip durations using competitive datasets.

• Tech: Flask, PostgreSql, JavaScript, HTML, CSS, Api
• Key Feature: Implemented structured user interaction workflows, secure data handling, and an intuitive interface to facilitate investor-entrepreneur matchmaking. Wait for 5-10 sec or refresh 4-5 times to open the website (it is slow because database is on a free account)

⚠️ Currently working on this project - you may not find it fully working

• 🔭 Currently working on: Building Machine Learning scalable projects.
• 💻 Currently learning: Deep concepts of Machine Learning and increasing familiarity with Deep Learning.
• 🎯 Goal: Participating in 24-hour AI hackathons and solving professional-level engineering problems.
• 🎬 When not coding: Exploring new ideas and concepts, play cricket or video games, watching animes, movies, dramas.