Machine Learning Model Deployment with Frontend & Backend

Members deployed complete Machine Learning applications including frontend, backend, APIs, and hosting platforms.

Requirements

Model Integration (Use trained ML model, Connect prediction pipeline)
Backend Development (Flask, FastAPI, Node.js)
Frontend Development (Streamlit, HTML/CSS/JavaScript)
Deployment (Render, Railway, Hugging Face Spaces)
Deliverables (GitHub Repository, ML Notebook, Source Code, Live Deployment)

Project Themes

Laptop Price Prediction
Used Car Price Prediction

Task Statistics

Note

For First-Year Students: Frontend, Backend, and Deployment were optional. Only Satvik Sharma belonged to First Year. All remaining deployed projects were developed by Second-Year students.