Despite Singapore's rich bird species, there is a lack of accessible tools for bird identification and locating birdwatching spots. Traditional methods are time-consuming, require expertise, and the available information on bird hotspots is often scattered and outdated. However, advancements in AI, including GPT-4 and machine learning models and other machine learning algorithms, offer a significant opportunity to revolutionize birdwatching. By leveraging these technologies, we created a user-friendly platform that simplifies bird identification and enables easy discovery of birdwatching spots, fostering a greater appreciation for Singapore's natural environment
Our solution is an AI chatbot called WingSpan, which offers comprehensive functionalities:
• Bird Information: This feature provides users with extensive information about various bird species, including their habitat and conservation status, enabling users to expand their ornithological knowledge.
• Bird Identification by Description: Users can input descriptions of birds they encounter, and the system will assist in identifying the species, aiding in the exploration and discovery of avian life.
• Bird Identification from Photos: This feature allows users to upload photos of birds for identification, leveraging visual data for species recognition.
• Bird Spotting Predictions: Utilizing historical data, the application predicts the likelihood of spotting specific birds, aiding enthusiasts in planning their birdwatching activities.
• Park Recommendation: By analysing data on bird populations and activity, the system recommends parks for birdwatching.
• Bird Abundance Heatmap in Singapore: An interactive heatmap feature displays areas of high bird abundance within Singapore, serving as a strategic tool for birdwatching planning.
| Official Full Name | Student ID (MTech Applicable) | Work Items (Who Did What) | Email (Optional) |
|---|---|---|---|
| Ashiwin Rajendran | A0291191E | Data collection and Preparation, Bird Sighting prediction (Random Forest Classifier), Bussiness Presentation Slide and video, Testing | [email protected] |
| Jithin Krishnan | A0249481W | System Design, Web Application and API, Adroid Application, Deployment, Data collection and Preparation, LLM integartion, User Intent Identification, Bird Information, Bird Identifcation (Image & Text), Park Recommendation, Testing, Project Tracking and coordination | [email protected] |
| Prem Varijakzhan | A0291913B | Ideation, Data Collection, Data Processing, Weather Data Integration with forecast upto 15 days and historical data,Content Based Park Recommendation System Model and Optimization, Documentation, User Guide, Presentation, Testing | [email protected] |
| Shankar Sai Ganesh | A0168149U | Data collection and processing, Heatmap (Gradient Boosting Regressor), Testing, System Design Presentation and Video | [email protected] |
- Please find the video links in below text file or just click the thumbnails below to watch them:
https://github.com/jithinkrn/IRS-PM-2024-01-13-IS06PT-GRP-WingSpan/blob/main/Video/Video%20Links.txt
- Please refer to the below link for the User Guide: https://github.com/jithinkrn/IRS-PM-2024-01-13-IS06PT-GRP-WingSpan/blob/main/ProjectReport/User%20Guide%20-%20WingSpan.pdf
- Please refer to the below link for the Project Report: https://github.com/jithinkrn/IRS-PM-2024-01-13-IS06PT-GRP-WingSpan/blob/main/ProjectReport/Project%20Report%20-%20WingSpan.pdf
Refer to Github Folder: Miscellaneous
- This folder contains Data Preparation Scripts